This page tracks remote data analyst openings that are location-eligible for Oklahoma.
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At aioneers, you’ll be part of a professionally managed, innovation-driven, asset-based consulting firm headquartered in Germany. You’ll work with a unique and passionate team that is reshaping the future of supply chains - and driving your own career forward. We specialize in digitalizing strategic, tactical, and operational decision-making in supply chain management. With our cutting-edge analytics and business solutions, we help companies optimize their supply chain processes end-to-end.
Role Description To strengthen our growing consulting team in Bangalore, we are looking for a Senior Consultant– Data Analytics who is excited to tackle real-world supply chain challenges. If the following responsibilities sound like you, we’d love to get to know you: - Bridge the gap between supply chain business requirements and analytics solutions. - Support in designing technical concepts and developing tailored solutions using our assets. - Create data requests to gather relevant supply chain data and support in setting up data integration processes. - Implement solutions at our clients’ sites in areas such as supply chain transparency, inventory management, supply planning, and demand forecasting. - Preparation and transformation of supply chain data, including data integration, cleansing, applying business logic, and adapting our existing scripts/model templates. - Build large scale supply chain control tower systems to enable transparency and provide decision support using data analytics. - Validate implemented solutions in collaboration with project teams and client stakeholders. - Collaborate with our data engineering team to build efficient data pipelines. - Contribute to the continuous improvement of our technical assets, including scripts, logics, and models. Qualifications - 5 to 8 Years of experience in data analytics domain with focus on supply chain management. Experience in client facing roles would be preferred. - Bachelors / master's degree in technology, Industrial Engineering, Business Informatics, Applied Mathematics, Economics, or a related field with focus on Supply Chain, Data Analytics, or AI/ML. - Strong analytical and structured thinking with a high willingness to learn. - Hands on working experience with supply chain data sources like ERP systems, MRP tools, Inventory management software, sales, warehousing, and TMS systems. - Understanding of supply chain master/transactional data and related dependencies. - Hands-on experience in data preparation (ETL), modeling, and analysis using tools like Databricks, Python, Spark, SQL. - Familiarity with data visualization and automation tools like Power BI, Qlik Sense, Power Automate, Power Apps, or similar. - Interest or experience in AI, Machine Learning, mathematical modeling, or operations research is a plus. - A solid understanding of supply chain processes. - Experience in working on large scale projects with multi-disciplinary teams across the globe. - A hands-on mentality, team spirit, and a customer-centric mindset. - Strong communication skills in English. Benefits - Permanent contracts: Shape your future with a company that invests in long-term growth. - Flexible work setup: Enjoy work-life balance with remote options and flexible hours. - Mentorship & buddy program: We support you from day one, ensuring you’re guided through your daily tasks and long-term development by inspiring colleagues and role models. - Equal opportunities, diversity, and transparent career paths: Your potential counts. - Medical insurance for you and your family: We care about you and your family’s health. - Unmatched peer quality: A chance to work with some of the best minds in the industry, continuously learn from them and contribute towards larger structure. - An amazing team culture: With flat hierarchy where your opinions are not just valued but acted upon. A culture that constantly encourages you to take ownership and act like an entrepreneur. Company Description At aioneers, you’ll be part of a professionally managed, innovation-driven, asset-based consulting firm headquartered in Germany. You’ll work with a unique and passionate team that is reshaping the future of supply chains - and driving your own career forward. We specialize in digitalizing strategic, tactical, and operational decision-making in supply chain management. With our cutting-edge analytics and business solutions, we help companies optimize their supply chain processes end-to-end.
We help marketing agencies hire top offshore talent in 15 days - Fully guaranteed
• Collect, analyze, and interpret data from media platforms, web analytics tools, CRM systems, accounting platforms, and other business data sources. • Build, maintain, and optimize reporting dashboards and data visualization solutions using platforms such as Tableau and Google Data Studio. • Transform, blend, and visualize data using statistical methods and analytical tools to identify trends, outliers, and business opportunities. • Write queries and code to connect, extract, and manage data across multiple platforms, databases, and data warehouses. • Collaborate with cross-functional teams to translate business questions into actionable reports, dashboards, and recommendations. • Monitor and improve data quality, collection processes, and reporting accuracy while supporting ad-hoc analytics projects and business requests. • Communicate analytical findings and educate stakeholders on data relevance, performance metrics, and statistical significance.
Launch Potato’s brands and technologies help customers discover new products and services that make their lives better!
Role Description Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to: - Uncover meaningful trends - Conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance - Challenge the team with insights they aren't currently seeing This is NOT a role for someone who wants to build dashboards and hand them off; it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Qualifications - Expert SQL & Comfortable with Unstructured Complex Data - Reporting Ownership & Data Literacy - Performance Marketing Optimization - Advanced LookML Development (or equivalent in Power BI / Tableau) - Curiosity & Business Depth Requirements - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing - Experience owning reporting end-to-end, from pipeline to dashboard - Worked with messy, complex, third-party data - Partnered closely with business teams to uncover meaningful trends and conduct retrospective analyses Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit reporting consumption, identifying discrepancies, redundancies, and inconsistencies. - 60 Days in: Articulated how assigned verticals make money and improved dashboard standardization while executing on ad hoc requests. - 90 Days in: Executed dashboard standardization and established working relationships with Yield, Paid Media, and Account Management. - 6 Months in: Built trust with the business team through education and delivered proactive retrospective analyses. - Year 1: Became a trusted technical owner for assigned verticals, completing reporting standardization and consistently delivering retrospective analysis. Competencies - Analytical Rigor - Reporting Ownership - Business Acumen - Communication - Proactive Ownership - Collaboration - Curiosity & Growth Benefits - Base salary set according to market rates for the nearest major metro - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits - Future increases based on company and personal performance
Leidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.
• Lead interoperability and data integration activities across CDC public health systems, platforms, and partner organizations • Design, develop, implement, and maintain data exchange workflows, APIs, integration services, and data pipelines • Support secure and efficient movement of data between surveillance, research, laboratory, operational, and reporting systems • Support CDC data modernization initiatives and enterprise integration efforts • Lead migration of legacy SAS-based analytics, reporting, and data management workflows to modern cloud-based platforms • Develop reusable code, technical documentation, and integration patterns • Participate in code reviews, testing activities, and deployment processes • Mentor junior developers and technical staff
BCD Travel helps companies travel smart and achieve more. We drive program adoption, cost savings, and talent retention through digital experiences that simplify business travel. Our 15,000+ dedicated team members service clients in 170+ countries as we shape a sustainable future for business travel. BCD’s leading meetings and events management and global consultancy services complete our comprehensive suite of solutions for all aspects of corporate travel. In 2024, BCD achieved US$22.9 billion in sales. For more information, visit www.bcdtravel.com . Get to know us by reading our blog and checking out our social media: Blog LinkedIn Instagram Facebook
Role Description The Data Analyst II is a senior analyst role that may be responsible for: - Data integration or data quality and collection with added emphasis on high visibility/high complexity projects - Systems Data Support - Departmental Documentation needs - A combination of the above to fulfill position requirements This position will support the core responsibilities of the Data Analyst II and also perform an SME role, handling and supporting high visibility and complexity assignments. This role is responsible for ongoing technical data support, including support for data development and testing activities of travel reporting data. In this role, you will work with functional managers to ensure SOPs and documentation are created and maintained. As an IIS Data Analyst II, you will: - Lead high-complexity client implementation and requirements sessions with stakeholders - Handle data integration requests per customer requirements - Provide SME support to the data analysts, assist the team with training, issue resolution, and task/project completion - Handle Data Incident Investigations (DIIs) from review, impact assessment, management approval, and resolution - Be responsible for monitoring support requests and routing cases through the help desk tool - Support department initiatives and projects in alignment with company objectives - Learn and adopt new technologies in a rapidly changing environment Qualifications - Previous experience working in a technical role, supporting all aspects of the data lifecycle and reporting systems - Strong technical background, including knowledge of database systems, data life cycle, data quality processes, and standards & ETL processing - Competency with SQL and query tools and ability to effectively write and interpret queries and results - Ability to write medium/high complexity SQL code - Solid knowledge of the global data environment and data capabilities - Competency in collecting and writing functional requirements and test plans - Knowledge working with JAMS scheduler - Building and managing jobs and schedule - Demonstrate ability to quickly acquire and apply new technical skills as business needs evolve Benefits - Flexible working hours and work-from-home or remote opportunities - Opportunities to grow your skillset and career - Generous vacation days so you can rest and recharge - A compensation package that feels fair to you, including mental, physical, and financial wellbeing tools - Travel industry professional perks and discounts - An inclusive work environment where diversity is celebrated Company Description BCD Travel helps companies travel smart and achieve more. We drive program adoption, cost savings and talent retention through digital experiences that simplify business travel. Our 15,000+ dedicated team members service clients in 170+ countries as we shape a sustainable future for business travel. BCD’s leading meetings and events management and global consultancy services complete our comprehensive suite of solutions for all aspects of corporate travel. In 2024, BCD achieved US$22.9 billion in sales. Get to know us by reading our blog and checking out our social media: - Blog - LinkedIn - Instagram - Facebook
• Analyze data to identify trends, patterns, and anomalies. • Support root cause analysis and performance investigations. • Assist in KPI tracking, data quality checks, and governance processes. • Build and maintain business intelligence reports and apply statistical analysis fundamentals. • Write and maintain SQL queries using joins, CTEs, and window functions. • Help enhance and maintain scenario models under guidance. Track and report on forecast accuracy. • Build and maintain dashboards and standard reports.
• Conduct advanced data analysis, mining, and trend identification to surface meaningful business insights. • Develop and maintain KPIs, performance management frameworks, and data quality standards. • Perform root cause analysis, statistical hypothesis testing, and predictive and prescriptive analytics. • Own data governance and quality assessment practices. • Write and optimize complex SQL queries using CTEs, window functions, joins, and stored procedures. • Design and maintain data models, ETL/ELT pipelines, and data warehouse structures. • Perform data validation, reconciliation, and transformation to ensure analytical accuracy. • Measure and continuously improve forecast accuracy using trend analysis, seasonality analysis, and statistical methodologies. • Develop scenario models to support strategic decisions. • Design executive dashboards, scorecards, and interactive reports that tell a clear story. • Own QBR preparation and deliver findings directly to senior leadership, including the executive team. You will translate analytical work into business narratives that influence real decisions at the company level. • Build automated reporting solutions that scale across the organization. • Partner with stakeholders to gather requirements, document processes, and align on priorities. • Present technical analysis to C-suite leaders as business narratives and strategic recommendations. • Facilitate meetings, lead cross-functional collaboration, and support change management initiatives.
• Own recurring reporting for User Operations — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences • Translate support data into clear narratives: what's happening, why, and what to do about it • Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time • Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance • Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need • Work with Harvey's central data team to connect support data to broader product and customer data sources • Identify and close data collection gaps — if we can't measure it, help define how we should • Design feedback loops that connect support signals to Product, Engineering, and Customer Success • Quantify the operational cost of product bugs, feature gaps, and onboarding failures • Contribute to QA analytics as the QA program matures • Track ticket deflection, AI/chatbot performance, and self-service effectiveness • Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools • Support ad hoc analytical requests from the Support Operations Manager, User Operations leadership, and senior stakeholders
Connecting the world’s health data to improve patient outcomes.
• Support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. • Drive commercial strategy through commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus. • Build scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders. • Analyze and synthesize market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations. • Conduct market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization. • Partner cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities. • Design and operationalize standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams. • Drive adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution. • Continuously improve reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact. • Support forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs. • Monitor commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities. • Develop methodologies and tracking mechanisms that measure business performance, account health, and strategic progress. • Translate analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities.
Role Description We are looking for a talented and driven Senior Data Analyst to join our AdNetwork team. As a Senior Data Analyst, you will play a key role in analyzing advertising data and developing insights to optimize our platform's performance. You will work closely with the Data Analyst Team Lead to implement data strategies and mentor junior team members. - Independently identify and execute high-impact data analysis projects. - Mentor junior analysts and provide technical guidance on projects. - Design and implement A/B tests for marketing, app monetization, and product features. - Create and maintain dashboards for monitoring key advertising metrics. - Develop automated reporting solutions and data pipelines. - Collaborate with cross-functional teams to identify and solve business challenges. - Support data infrastructure improvements and maintenance. - Lead A/B testing (marketing, app monetization, product testing). Qualifications - 4+ years of experience in data analysis in the adtech, mobile, or marketing industries. - Strong proficiency in Python, SQL, and data visualization tools. - Experience in A/B testing and statistical analysis. - Experience using AI tools and LLMs (e.g., ChatGPT, Claude, Gemini). - Strong problem-solving and analytical skills. - Excellent communication skills and ability to present findings to stakeholders. - Demonstrated ability to work independently and make data-driven decisions. - Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Requirements - Experience with cloud platforms (AWS) and data tools (Databricks, Grafana, Elasticsearch, Kibana). - Experience with Apache Spark and large-scale data processing. Benefits With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!
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SQL, Tableau, ETL, Python, Databricks, Apache Spark
