Analytics Engineer Remote Jobs in Texas (US)
This page tracks remote analytics engineer openings that are location-eligible for Texas.
This page tracks remote analytics engineer openings that are location-eligible for Texas.
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430 Jobs
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Founded in 2005, Smartsheet offers collaborative work management and process automation to empower greater enterprise productivity. A leading cloud-based platform for work executio
• Lead analytics engineering strategy and execution, owning the design and evolution of core data models using modern practices — Data Vault, dimensional modeling, dbt on Snowflake — with a clear roadmap toward a Databricks lakehouse architecture. • Own the company-wide semantic layer and metrics store, ensuring Bookings, ARR, NDRR, and other critical business metrics have a single, version-controlled, trusted definition consumable by every downstream tool and AI agent. • Drive Finance Analytics, including ownership of Bookings, ARR, NDRR, segment and territory reporting, and month-end close pipelines, partnering closely with Finance and Revenue Operations. • Set the standard for data governance and data quality, including discoverability, lineage, access controls, and data contracts between upstream producers and downstream consumers — leveraging Atlan, Unity Catalog, and Monte Carlo. • Own data egress and reverse-ETL strategy, governing pipelines from the data warehouse to downstream platforms including Salesforce, Marketo, Gainsight, Outreach, Thoughtspot, Tableau, and Amplitude. • Shape our AI data strategy, ensuring data assets are structured, documented, and governed to serve as reliable foundations for AI agents, LLM-based analytics, and intelligent product features — while driving data-as-a-product principles and platform cost discipline. • Lead cross-functional strategic programs including Quote-to-Cash modernization, unified customer data modeling, and the Snowflake-to-Databricks migration, acting as a key decision-maker across multi-quarter initiatives. • Develop cross-team relationships across functional leadership and BI partners to ensure we are meeting existing analytics needs and are well-positioned to meet the needs of the future. • Build, develop, and lead a high-performing team, managing vendor and partner relationships, and evolving team capabilities to meet the demands of a rapidly maturing data platform.
Lob was founded in 2013 by technical co-founders with a vision to connect the world one mailbox at a time. We're transforming the way businesses use direct mail and bringing the power of technology to a traditionally manual channel. Our modern logistics and fulfillment engine helps businesses to build and scale high-quality, personalized direct mail programs without the operational burden. As we grow to meet the evolving needs of our customers and expand our product offerings, we're building a team to shape the future of direct mail.
Lob was founded in 2013 by technical co-founders with a vision to connect the world one mailbox at a time. Today, we're transforming the way businesses use direct mail and bringing the power of technology to a traditionally manual channel. Our modern logistics and fulfillment engine helps businesses to build and scale high-quality, personalized direct mail programs without the operational burden. As we grow to meet the evolving needs of our customers and expand our product offerings, we’re building a team to shape the future of direct mail. Senior Analytics Engineer As a member of the Data team, you will develop data pipelines and build data models that enable the entire company to discover actionable insights and make rapid data-driven decisions. You will work with colleagues in Product and Engineering, as well as stakeholders across teams such as Sales, Finance, Marketing, and Operations to identify data needs and develop durable solutions that help answer business questions. As the Senior Analytics Engineer, you’ll… - Partner with stakeholders to identify problems, create insights, and develop durable data solutions. - Build robust data pipelines to curate analytical data from internal and external systems. - Curate the semantic data layer to bridge raw tables and business context and enable AI use cases. - Develop dashboards and alerting systems that track and monitor business performance, with a focus on clear and insightful data visualizations. - Exemplify analytics engineering best practices, such as modularity, testing, cataloging, and version control. - Champion data governance, security, privacy, and retention policies to protect end users, customers, and Lob. What will you bring to this role… - 5+ years of Analytics Engineering experience, including a background in ELT frameworks, OLAP modeling, data visualization, and data governance. - 5+ years of SQL experience: at least one big data warehouse system such as Redshift, Snowflake, or BigQuery. Snowflake preferred. - 3+ years of experience operating live production systems using dbt and Python. dbt Developer certification is a plus. - 3+ years of BI Tool experience: at least one analytics platform such as Omni, Looker, or Tableau. Omni preferred. - 1+ years of experience curating semantic data models to enable conversational BI. - Expertise in modern data visualization techniques: Ability to apply best practices to clearly and insightfully communicate data to drive decisions. - Empathy and effective communication skills: Ability to explain complex analytical issues to both technical and non-technical audiences. - Strong interpretive skills: Ability to deconstruct complex source data to compose curated models that can be explored by stakeholders. - Product mindset: Ability to build data systems that will be used to generate insights for years to come, not just one-off analyses. Additional Experience - A four-year degree in an analytical discipline, or equivalent real-world experience is required. - 5+ years of Analytics Engineering experience required. - Domain knowledge in Supply Chain, Finance, B2B SaaS, or a similar relevant field is a plus. Compensation Information The total compensation package for this role is comprised of an annual base salary and RSUs. Annual base salary: $152,500.00 - $170,000.00 <#LI-REMOTE #LI-RW1 “Lob’s salary ranges are based on market data, relative to our size, industry and stage of growth. Salary is one part of total compensation, which also includes equity, perks and competitive benefits. Salary decisions are based on many factors including geographic location, qualifications for the role, skillset, proficiency and experience level. Lob reasonably expects to pay candidates who are offered roles within the provided salary ranges.” We offer remote working opportunities in AZ, CA, CO, DC, FL, GA, IA, IL, MA, MD, MI, MN, MT, NE, NC, NH, NJ, NV, NY, OH, OR, PA, RI, TN, TX, UT, and WA, unless specified otherwise in the job description above. If you are looking for a progressive, fun-spirited, and mentally stimulating environment, come join us at Lob! Our Commitment to Diversity Lob is an equal opportunity employer and values diversity of backgrounds and perspectives to cultivate an environment of understanding to have greater impact on our business and customers. We encourage under-represented groups to apply and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or criminal history in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance. Recent awards #88 on BuiltIn's Best Remote Midsize Companies to Work For in 2025 BuiltIn Best Remote Midsize Companies to Work For in 2024 BuiltIn Best Midsize Companies to Work For 2022
As a leader in environmental solutions, recycling & waste, we partner with customers to create a more sustainable world.
Role Description The Analytics Engineer II (multiple positions) at Republic Services, Inc. in Phoenix, Arizona will assist in the design, development, maintenance, and continuous refinement of analytics and reporting solutions. Responsibilities include: - ETL processes, data warehouses, cubes, dashboards, and model deployment. - Staying up-to-date on the latest technology and implementing proof-of-concepts. - Maintaining system and tool documentation. - Troubleshooting pricing optimization algorithms and rules-based pricing recommendations. - Collaborating with internal customers, analysts, developers, data scientists, and database administrators. - Providing underlying data support for business metrics. - Writing ETL scripts using SQL Server Integration Services (SSIS) or similar tools. - Designing and building automated processes leveraging Excel, SQL, and VBA. - Designing dashboards and tools for user interaction with data. - Implementing in-database machine learning solutions using SQL Server and R or Python. - Ensuring security and integrity across all data. - Troubleshooting and debugging issues. - Telecommuting permitted as business needs allow up to 5 days per week. Qualifications - Bachelor’s degree in Mathematics, Computer Science, Information Management, Statistics, Engineering, Business Analytics or related analytical field. - Three years of experience in data analytics, data engineering, or related occupation. - Three years of experience in programming in SQL and R or Python. - Three years of experience in deploying analytics models and tools in a production environment with relational databases. Requirements - Education and experience may be gained concurrently. Benefits - Comprehensive medical benefits coverage, dental plans and vision coverage. - Health care and dependent care spending accounts. - Short- and long-term disability. - Life insurance and accidental death & dismemberment insurance. - Employee and Family Assistance Program (EAP). - Employee discount programs. - Retirement plan with a generous company match. - Employee Stock Purchase Plan (ESPP). - Paid Time Off (PTO).
Fifth Third Bank was founded in 1858 and has spent over 150 years providing customers with quality financial products and services. Headquartered in Cincinnati, Ohio, Fifth Third B
Role Description This position will be responsible for business intelligence and analytical thought leadership related to the creation, execution and maintenance of analytics needs for the Third Party Management (TPM) division. Serves as the analytics subject matter expert for the TPM division and utilizes various analytical tools to optimize existing departmental reporting and create new processes to ensure that key strategic decisions are identified and supported by data sources. This position also acts as the system administrator for key systems used by the Third Party Management team. Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring and reporting risks of all types. Qualifications - Bachelor's degree in Finance, Business, Economics, Information Technology, or equivalent education and/or related training. Master's degree preferred. - Seven+ years of previous experience working with advanced analytics. - Extensive experience implementing and/or utilizing business intelligence tools (SAS, SPSS, SAP Business Objects, Tableau, etc.) for the purpose of mining/manipulating key data sources. - Proven ability to work in a dynamic cross-functional work team for the purpose of learning and applying new analytical skills in response to constantly changing business needs. - Ability to effectively communicate findings, analyses, implications, and recommendations to stakeholders across all levels of the organization. - Ability to initiate, execute, and lead multiple projects under competing deadlines and shifting priorities in a fast-paced operating environment. - Previous Vendor Management, Third Party Risk Management, or Procurement experience preferred. - Highly proficient in Microsoft Excel. Demonstrated ability to learn and understand systems such as GEAC and procure to pay applications. Requirements - Provide forward-thinking approaches to managing and growing the role of Third Party Management Analytics insights across internal customer segments. - Assume a leadership role in educating key stakeholders and provide oversight around the change management needs related to this effort. - Educate key stakeholders on the value of data analytics. - Partner with internal customers to help them define and build both current and future-state data management and measurement strategies. - Lead multiple engagements (from ideation to execution) aimed at addressing current business challenges. - Serve in the thought-leader role, working closely with Third Party Management leadership and other key business partners to set overall analytics direction and define success criteria for each initiative. - Identify, build, and sustain key customer partnerships. Serve as the primary analytics contact for aligned center-of-excellence (COE) partners. - Oversee data governance, data manipulation and data analysis for assigned areas of focus. - Assume a leadership role in identifying possible data enhancements and ongoing process improvement opportunities. - Utilize multiple advanced mining tools (SAS, SAP Business Objects, Tableau, etc.) to produce analytics/insights for internal/external business partners. - Develop a thorough understanding of the data models, infrastructure, existing enterprise system relationships, and key business models related to TPM and the overall organization. - Extract and evaluate information gathered from multiple sources, resolve data conflicts, and customize communication of key data findings to diverse audiences based on business need. - Serve as a subject matter expert with regards to business intelligence and advanced analytics. - Drive and challenge key stakeholders on any data assumptions tied to the execution of their strategic plans. - Act as the system administrator for assigned Third Party Management systems and tools. Benefits - Total Base Pay Range: 96,500.00 - 207,500.00 USD Annual. - Eligible to participate in an incentive compensation plan based on company, line of business and/or individual performance. - Extensive benefits programs designed to support the individual needs of employees and their families, encompassing physical, financial, emotional and social well-being. Company Description Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
Appfire is a computer software company that has been recognized as a “global authority” on Atlassian products and software. As an employer, the company aims to cultivate a cult
Role Description Appfire is seeking an experienced full-time Senior Analytics Engineer! In this role you will build, define and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources. You will work with stakeholders across Appfire to integrate, test, connect, and build brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information across the company. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e.g. metrics, dashboards, adhoc analysis and self-service solutions) that enable and push the boundaries of decisions across the company. As an Analytics Engineer you will sit at the intersection of business and data, working collaboratively to enable and achieve meaningful outcomes by evolving our ecosystems to scale impact. We’re growing quickly and have a lot to accomplish. What You Will Do: - Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners - Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake - Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact - Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases Qualifications - 5+ years of relevant industry experience - Passion for high data quality and impactful analytics engineering work - Expert SQL skills for data modeling and query optimization - Extensive experience with self service, advanced analytics, semantic and metrics layers - 3+ Years of Experience with Python and DBT - Strong understanding of data warehousing concepts and best practices - Efficient problem-solving and analytical skills - Proven ability to succeed in both collaborative and independent work environments at a remote-work company - Proven experience managing concurrent complex data projects from start to finish - Continuous learner with an eye on industry trends and new technologies - Excellent communication and documentation skills with the ability to explain technical concepts to a non-technical audience - Ability to effectively leverage AI tools and techniques to enhance dbt development, increase efficiency, and strengthen documentation Requirements - Experience with dbt (Data Build Tool) and its implementation for data transformation and modeling - Proven experience with data wrangling and designing/developing experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery - Proficiency in source code management tools such as GIT, BitBucket, etc. - Experience working with Cloud Technologies (AWS/GCP/Azure) - Experience working with various semi structured data formats (ex. JSON) - Experience building data solutions for future scale and analytics use-cases - 3+ years of development experience on industry standard BI tools - ML analytics engineering experience a plus - Marketing Analytics experience a plus Benefits - Equity: Every Appfire team member is eligible for company equity, fostering a true sense of ownership and connection to our growth. - Time Off & Wellbeing: - 26 paid vacation days annually, regardless of tenure - 12 Wellness Days — one fully paid day off each month to recharge, available on an ad-hoc basis and not carried over month to month - 24 hours of paid volunteer time to support meaningful causes outside of work - 3 fully paid volunteering days each year through Appfire Town, our Corporate Social Responsibility (CSR) program supporting local communities - Learning & Development: Grow with Appfire University — our custom, on-demand learning platform designed to support continuous learning and professional development. - Health & Insurance: - Fully covered Luxmed private healthcare plan - Option to extend coverage to your partner or add personalized upgrades - UNUM life insurance, fully paid by Appfire - Lifestyle & Benefits: - MyBenefit Platform with 150 PLN per month to spend on: - a Multisport card - shopping - restaurants - entertainment experiences - Lunch Card with 300 PLN monthly for groceries or dining out via a virtual prepaid Pluxee card (Google Pay or Apple Wallet supported) - Remote Work Support: Receive 200 PLN net per month as a home office allowance to help cover electricity and internet costs while working remotely.
WorkWave empowers businesses of all sizes with forward-looking technology and services to help businesses reach their full potential. The company has brought together many organiza
Role Description We’re looking for a customer-centric Senior AI/Data Engineer to build and scale data systems that drive our “decision intelligence” products. You’ll work at the intersection of data engineering, product development, and AI/ML enablement—designing systems that empower customer-facing data products. This role requires not only deep technical expertise but also a strategic mindset, strong communication skills, and a high sense of ownership over how data supports the business. You will collaborate across teams to ensure data is a true product enabler. WHAT YOU'LL DO: - Engineering & AI Enablement - AI/ML ownership: Build trusted AI/ML predictions and forecasts via feature pipelines, model input/output data flows, and robust data validation frameworks. - Pipeline Design: Design and implement reliable, scalable, and secure data pipelines that serve analytical and product use cases. - Leadership: Provide technical leadership and mentorship to other data engineers and cross-functional collaborators, fostering a culture of engineering excellence. - Ecosystem Ownership & Strategy - Architecture & Evolution: Own the architecture and evolution of our data platform, ensuring it meets the performance, scalability, and agility needs of our growing business. - Governance & Observability: Implement data governance, quality, and observability best practices to ensure trustworthy insights, proactively managing data health before it impacts the business. - Infrastructure Optimization: Optimize cloud data infrastructure for cost, performance, and maintainability, treating the platform as a product rather than just a utility. - Collaboration & Translation - Cross-Functional Partnership: Collaborate closely with product managers, engineers, and customer stakeholders to understand context and needs, and help translate them into engineering solutions. - Customer-Centricity: Ensure engineering efforts are aligned with delivering clear business value and enhancing the customer experience. WHO YOU ARE: - The ML Enabler: You are a Data Engineer who loves the complexity of AI. You understand that a model is only as good as the pipeline feeding it, and you take pride in building the infrastructure that brings AI to life. - The Product-Minded Architect: You don’t just move data from A to B; you build systems with the end-user in mind. You prioritize "Time to Insight" and usability as much as you prioritize code efficiency. - The Strategic Owner: You are comfortable working in an environment where you are expected to identify problems and fix them without waiting for a ticket. You view the data ecosystem as your product. Qualifications - 5+ years of experience in data engineering, with 1–2+ years in a senior or lead capacity. - Deep understanding of ML models and can articulate the trade-offs between different architectures (e.g., complexity vs. inference speed, accuracy vs. interpretability). - "Ninja-level" proficiency in Python for complex data structures and automation, alongside strong SQL expertise. - Strong familiarity with Scikit-Learn and similar libraries, with specific experience building and maintaining associated feature engineering pipelines. - High proficiency in MLOps practices and orchestration tools (e.g., Airflow, dbt, Dagster). - Solid experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks). - Strong understanding of data modeling, performance optimization, and cloud computing (AWS, GCP, or Azure). - Excellent communication and collaboration skills, with a proven ability to work effectively across technical and non-technical teams. Benefits - Robust benefits package, including health and dental and 401k with company match. - Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays. - Tuition reimbursement. - Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services, and much more! - 24/7 access to virtual medical care with Teladoc. - Quarterly awards based on peer nominations. - Regional discounts and perks. - Opportunities to participate in charitable events and give back to the community. Company Description - We know that there are benefits of being in the office and working from home. WorkWave promotes a healthy work/life balance and provides employees with the flexibility of collaborating in the office or the option to work virtually if desired. - We have employees in over 30 states, 7 countries and many regional offices - each with their own set of perks and opportunities to give back to the local community. - Whether you work remotely or take advantage of one of our offices, you’ll find a community of WorkWavers that value diversity, and care deeply about our products, clients, our communities and each other.
Yahoo! is a global media and technology company on a mission to connect people to their passions through trusted products, content, and tech. Having previously offered remote, free
Title: Data Engineer - AI Semantic Analytics Location: US - United States of America time type Full time job requisition id JR0026544 Job Description: It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. A Little About Us: The Yahoo Consumer Data Team manages a petabyte-scale data ecosystem that powers insights across Yahoo’s media products and drives improvements to user engagement and experience. We partner across multiple organizations at Yahoo to translate data into meaningful product impact. Our team is evolving how data is accessed and consumed by moving toward semantic analytics and natural language-driven insights that enable faster, more intuitive decision-making. Your work will directly influence product strategy and help modernize how teams interact with data at scale. Along the way, you’ll collaborate with talented engineers and analysts while contributing to innovation at one of the internet’s pioneering companies. Summary: We are seeking an entry-level Data Engineer with a strong interest in semantic analytics, AI-assisted querying, and natural language interfaces over large-scale data systems. This role will begin as a customer-facing analytics position, where you will work directly with internal stakeholders to translate business questions into structured data insights using semantic layers and natural language query frameworks built on top of BigQuery or MCP services. As you grow in the role, you will transition into more backend-focused responsibilities, helping design and optimize the semantic layer, query orchestration services, and data infrastructure that power these experiences. The ideal candidate is curious about AI-driven analytics workflows, enjoys working closely with business partners, and is eager to build modern data access systems that bridge natural language and large-scale data platforms. Responsibilities: - Partner directly with internal stakeholders to gather analytical requirements and translate business questions into actionable data insights. - Leverage semantic analytics frameworks and MCP services to enable natural language queries against BigQuery datasets. - Develop, test, and optimize SQL queries and semantic models that support scalable and reliable analytics workflows. - Contribute to the design and refinement of metadata layers, data dictionaries, and query abstractions to improve usability and consistency. - Support the development of AI-assisted analytics workflows that integrate tools such as Claude, Copilot, Cursor, or similar coding assistants. - Monitor data accuracy, performance, and reliability across analytics pipelines and query services. - Collaborate with data engineers and platform teams to improve backend systems powering semantic query services. - Assist in automating reporting and insight generation using modern BI and AI-enhanced tools. - Troubleshoot query performance issues and improve cost efficiency within BigQuery environments. - Stay current on best practices in AI-driven analytics, semantic data modeling, and cloud data infrastructure. Qualifications: - BS in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). - Strong interest in AI-driven analytics, semantic data layers, and modern data access patterns. - Familiarity with SQL and cloud data warehouses such as BigQuery (or equivalent platforms like Snowflake/Redshift). - Understanding of data modeling principles and structured analytics workflows. - Exposure to AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar is highly desirable. - Strong analytical thinking and problem-solving skills. - Comfortable in a customer-facing or stakeholder-facing role with clear communication skills. - Curiosity and willingness to grow from analytics support into backend data engineering work. The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoopolicies;exercising sound judgment;working effectively, safely and inclusively with others;exhibiting trustworthinessandmeeting expectations;and safeguarding business operations and brand integrity. At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter! Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome. The compensation for this position ranges from $76,500.00 - $159,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more. Currently work for Yahoo? Please apply on our internal career site.
ZODL (Zcash Open Development Lab) is building the software necessary to onboard billions of users to Zcash. Created by the original inventors and developers of the Zcash protocol, we deliver world-class UX for ZEC on top of our core protocol work. Product suite includes Zodl mobile (iOS and Android) with built-in cross-chain swaps Zallet, a full-node Zcash wallet written in Rust, built as a replacement for the zcashd wallet On the horizon: Zodl Vault (a desktop wallet for multisig, inheritance, and institutional use cases), web-based wallets, and headless/agentic wallet infrastructure
Role Description We’re looking for an Analytics & Optimization Specialist to help drive the next phase of growth for ZODL and the Zodl wallet. This role sits at the intersection of analytics, experimentation, content, and growth. You’ll work closely with our Head of Marketing and Comms Lead to understand what drives attention, engagement, conversion, retention, and long-term adoption across our marketing and ecosystem efforts. You will help build the analytical foundation behind our marketing organization. You will: - Identify patterns, measure performance, improve efficiency, and help us make smarter decisions across content, campaigns, user acquisition, and growth initiatives. - Understand what resonates, which initiatives drive results, and how we should optimize every aspect of our marketing to increase Zodl adoption and overall ecosystem engagement. This role is ideal for someone who combines strong analytical thinking with creative marketing instincts. You should be comfortable moving between analytics, experimentation, and creative collaboration across the broader marketing function. Qualifications - Deep curiosity and enjoyment in figuring out why something works or doesn’t work. - Understanding of funnels, and how users move through acquisition, activation, retention, and referral flows. - Ability to synthesize data, trends, feedback, research, and performance insights into clear recommendations. - Natural inclination toward analytics, numbers, experimentation, systems, and optimization, with a genuine enjoyment of the creative side of marketing. - Comfort in creating marketing content, including writing posts, creating and editing videos, and exploring other forms of promotional and educational content. - Strong growth instincts and enjoyment in experimenting with ideas, formats, messaging, and channels. - Comfortable working across multiple tools, platforms, and workflows, constantly looking for optimization opportunities. - Ability to communicate insights clearly and translate data into actionable recommendations. - Ability to handle ambiguity well and improve imperfect systems over time. - Proactive and comfortable operating with autonomy in a fast-moving environment. - Highly organized and collaborative. Requirements - Experience working in crypto and genuine interest in Zcash, privacy, financial sovereignty, open systems, and the future of digital money. - 3+ years of experience in marketing analytics, growth marketing, performance marketing, optimization, product marketing, or related data-driven marketing roles. - Experience in content, communications, campaigns, social media, or other marketing roles demonstrating strong creative instincts and understanding of audience psychology. - Demonstrated ability to connect marketing activity to product outcomes: downloads, signups, retention, monthly active users, and measurable growth. - Strong analytical and pattern-recognition skills, with the ability to spot trends, anomalies, and insights across large data sets. - Experience running A/B tests and evaluating creative performance across channels (social, website, app store, campaigns). - Hands-on experience with AI tools and automation workflows. - Hands-on experience with analytics and reporting platforms such as Google Analytics, App radar, Search Console, Mixpanel, and similar tools. - Experience with SEO principles, keyword research, and organic growth strategies. - Ability to understand marketing performance within the broader context of positioning, messaging, user psychology, and product adoption. - Ability to translate signals from across marketing, product, user behavior, analytics, and ecosystem activity into clear recommendations, prioritizations, and strategies. Benefits - Competitive compensation: $100k-140k. - Remote work flexibility.
Core BTS is an award-winning IT consulting firm and managed service provider dedicated to problem solving.
• As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack. • The Senior Data Analytics Engineer works directly with clients to ensure their expectations and business decision-making tool needs are met. • The Engineer is an expert in using analytical and problem-solving skills and has experience creating scalable and reliable data solutions through data analytics solution development.
Modus Create is a consulting firm founded in 2011 to help clients transform their businesses to succeed in the digital future. Modus Create employs a fully distributed team of "Mod
Role Description We are looking for a Senior Analytics Engineer to support the development of impactful and user-friendly Power BI dashboards and reports. This role will focus primarily on data visualization and reporting, working closely with stakeholders to transform data into actionable business insights. Qualifications - 5+ years of experience in Analytics Engineering, BI, or Data Analytics roles - Strong hands-on experience with Power BI visualization and dashboard development - Experience working with data from multiple sources and complex datasets - Familiarity with Microsoft Fabric or modern cloud-based data platforms - Good understanding of data modeling and reporting best practices - Strong communication and stakeholder management skills Requirements - Experience with SQL and data transformation tools (bonus points) - Exposure to Azure data services or ETL pipelines (bonus points) - Experience working in fast-paced or consulting environments (bonus points) Responsibilities - Design, build, and maintain Power BI dashboards and reports - Create clear and effective data visualizations for business users - Work with data coming from multiple sources integrated through Microsoft Fabric - Collaborate with technical and business teams to understand reporting requirements - Ensure data accuracy, consistency, and usability across reports - Support ongoing enhancements and optimization of existing dashboards Benefits - Be part of a winning squad that plays to each other’s strengths - Celebrate every success together
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SQL, Python, ETL, Data Engineering, AI, Azure