This page tracks remote data analyst openings that are location-eligible for New Mexico.
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Role Description The Performance Manager and Data Analyst II is essential to Aging and Disability Services, ensuring the County's compliance with key state and federal requirements, strengthening data-driven decision making, and supporting the integrity, accuracy, and usefulness of program information. Core duties and responsibilities include: - Leading the Older American Act Performance System (OAAPS) and Area Plan processes. - Providing insights to identify trends, address disparities, guide resource allocation, and improve service delivery. - Supporting audits, grants, and equipping staff with tools and training for high reporting standards. - Providing Contract Monitoring oversight of county, federal, and/or state programs. - Analyzing client-level and program-level data from various electronic databases. - Coordinating cross-program data collection, validation, reconciliation, and submission. - Developing dashboards, reports, visualizations, and technical/narrative summaries. - Supporting data infrastructure, integration, automation, and quality initiatives. - Leading quality reviews and staff training on reporting tools and compliance requirements. - Providing analytical support for grants, performance-based contracts, and strategic initiatives. - Supporting the development and analysis of program surveys. - Conducting analysis of survey responses to identify key themes and trends. - Developing and facilitating focus groups to gather qualitative feedback. - Performing other job-related responsibilities as assigned. Qualifications - Three (3) years of professional experience in data analysis, program evaluation, or process improvement. - Bachelor's Degree in a relevant field (Information Systems, IT, Computer Science, etc.). - Equivalent combination of education and experience may be substituted. - Graduate degree may substitute for one year of required experience. - Experience in a federal/state or local government environment is highly desired. Requirements - Ability to attend meetings or perform work at locations outside the office. - Occasional evenings and/or weekend hours may be required. Benefits - Equal opportunity employer committed to workforce diversity. - Reasonable accommodations for applicants with disabilities. - Hiring preference for certain categories of veterans and veterans/persons with disabilities.
Premier western sports and entertainment company — uniting arena, screen, and story in one powerful ecosystem
• Maintain and distribute weekly/monthly streaming performance dashboards (DAU, MAU, stickiness, logged-in rate, avg. session time) for biweekly stakeholder meetings • Meet with key stakeholders to define target metrics for their teams and reverse-engineer solutions using available pipeline data • Support ad-hoc data requests from leadership as they arise • Monitor and maintain ETL connectors across marketing and social platforms (Facebook Pages, Instagram Business, YouTube Analytics, Google Ads, Tiktok, and more) • Administer automated data transfer jobs in BigQuery, including scheduling management and backfill resolution and maintenance for if/when they break • Serve as subject-matter-expert on data pipeline architecture across cloud data platforms, including data lineage, source systems, and reporting caveats • Partner with revenue operations, social, and marketing teams on performance data audits and dashboard maintenance • Own subscription reporting structures, auditing existing pipelines and developing new ones to support streaming platform analytics • Maintain and enhance custom scripts and queries as business needs evolve (scheduled in GBQ) • Provide cross-functional project management for technical and data initiatives across teams • Pull and reconcile web/app analytics data (GA4) with video platform metrics (JW Player) for subscriber and audience analysis • Develop and maintain DAU/MAU reporting methodology, including documenting data limitations and ensuring appropriate caveats in all stakeholder reporting • Field stakeholder questions on viewing patterns across devices and platforms (Roku, CTV, mobile, web) using combined analytics sources • Coordinate with engineering partners on data sync issues between cloud platforms • Push updated pipeline outputs from BigQuery into downstream data platforms as needed • Troubleshoot and resolve cross-cloud data transfer issues, ensuring outputs are configured correctly to maintain pipeline reliability
Solving complex Public Sector Use cases using emerging technologies - SBIR Phase III Awardee
• Collect and organize information for the preparation of user manuals, training materials, installation guides, proposals, and reports. • Edit and maintain functional descriptions, system specifications, user manuals, and other customer deliverables. • Support financial and administrative tasks related to business systems. • Prepare and maintain systems, programming, and operations documentation under general supervision. • Maintain a current internal documentation library and coordinate special documentation services as needed. • Provide detailed analysis of various business system functions and support technical documentation efforts.
Solving complex Public Sector Use cases using emerging technologies - SBIR Phase III Awardee
• Design and develop analytic solutions for strategic and tactical service activities • Deliver insights through dashboards, visuals, and graphical displays in self-service formats • Translate customer needs and use cases into analytic solutions with minimal supervision • Analyze large and complex datasets related to supply chain and operations • Identify, source, and integrate data from disparate systems • Apply statistical models and algorithms to generate insights that influence business decisions • Detect deviations in process or system performance and apply appropriate analytical techniques • Communicate analytical methods and outputs effectively to stakeholders • Support specific supply chain functions including Planning, Fulfilment, Procurement, and Finance • Work within AGILE delivery lifecycle and collaborate with cross-functional teams
Customer Focused. Technology Driven. Relentless Execution.
• Design and lead end-to-end analytics projects addressing strategic business questions across P&C underwriting, claims, distribution, and client experience. • Develop advanced statistical models, segmentation analyses, and predictive frameworks to surface trends from large, complex datasets. • Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g., Tableau, Power BI, Looker). • Partner with business leaders in Sales, P&C Underwriting, Operations, and Finance to translate needs into analytical project plans. • Provide guidance, code review, and technical mentorship to junior and mid-level analysts on the team.
• Collaborating with the Director of Business Operations and Department of Neurology leadership to provide analysis and reporting on monthly, quarterly, and ad hoc basis to meet the needs of the department. • Completing monthly reports for Business Office, physicians, and managers. • Establishing user reports for data frequently requested. • Assisting department in meeting information needs through standards reports and queries. • Providing data and participating in the annual budget process and strategic planning process. • Analyzing volume trends and preparing forecasts for department leadership, JOSP, and affiliated hospitals for future planning purposes. • Providing timely and accurate ad hoc reports for Chairman, Business Office, physicians, and managers. • Working closely with Assistant Business Manager and Research Administrator to meet current reporting needs and develop reports based on the needs of the department. • Serving as department’s Reporting super user for EPIC.
• Partner closely with product, design, engineering, and marketing to shape team roadmaps by sizing opportunities, evaluating impact, and synthesizing complex data into actionable narratives • Independently lead analytical efforts, from opportunity sizing to experimental design and deep-dive diagnostics, using both structured and unstructured data • Serve as a strategic thought partner in product development planning by contextualizing analytics with broader company strategy and market trends • Create or improve key datasets and contribute to our analytical tooling ecosystem (e.g. dbt, Hex, Mixpanel) to ensure we can answer today’s questions and tomorrow’s • Frame and evaluate experiments using industry-best methodologies to isolate causal effects and interpret noisy data • Mentor peers in analysis design, storytelling, and stakeholder engagement — even without direct management responsibilities • Represent analytics in leadership forums, shaping cross-functional discussions and ensuring analytics is embedded in SeatGeek’s most important product decisions
Working towards a world in which every child grows-up in a safe and loving family.
• Support data integrity and normalization initiatives. • Generate reports from multiple systems. • Create Power BI dashboards to improve visibility and provide real-time analytics. • Ensure data quality through tagging and quality assurance processes. • Assist in developing reports and analysis. • Manage master data, including creation, updates, and deletions. • Design and maintain the reporting environment, including data sources, security, and metadata. • Support the data warehouse by identifying and revising reporting requirements. • Evaluate and implement new or upgraded software, supporting strategic decisions on new systems. • Troubleshoot reporting database issues and reports. • Assess changes and updates to source production systems. • Anticipate future needs related to people, technology, budget, and business, and design solutions to meet those needs. • Develop automation and eliminate manual work using tools like Power-Automate and AI. (e.g., Chat GPT, Claude) • Ensure data accuracy and deliverables by following comprehensive policies and processes. • Performs other duties as assigned, including departmental and cross-functional projects.
Tailored Brands is a men’s apparel retailer whose high-profile brands sell clothing online and at stores across North America and the United Kingdom. Known fo
Role Description We currently have an exciting opportunity for a Sr Data Analyst – Store Analytics, to join the Tailored Brands Enterprise Analytics team. The Sr Data Analyst – Store Analytics serves as a strategic analytics partner to Stores leadership and enterprise leaders, driving deeper understanding of store performance through diagnostic and exploratory analysis. This role goes beyond reporting to identify root causes of business performance, uncover opportunities, develop actionable recommendations, and influence decisions that improve sales, productivity, customer experience, and operational effectiveness. The Sr Analyst independently leads complex analyses, develops scalable analytical frameworks, partners closely with business leaders and Data Engineering, and helps shape the evolution of the Store Insights capability. What You’ll Do | Key Accountabilities - Lead complex diagnostic and ad hoc analyses that identify root causes of store performance, quantify business opportunities, and guide strategic decision-making across Stores. - Independently frame ambiguous business questions, formulate analytical approaches, synthesize multiple data sources, and translate findings into executive-ready recommendations. - Perform root cause analysis to explain sales trends, labor productivity, conversion, customer behavior, and operational performance, developing hypotheses and validating findings through quantitative analysis. - Proactively identify emerging risks and opportunities across the store fleet by monitoring leading performance indicators and conducting exploratory analyses. - Develop and maintain enterprise Power BI dashboards and analytical solutions that enable leaders to self-serve insights while ensuring metric governance and reporting consistency. - Serve as a key analytics partner in the migration from Tableau to Power BI by leading report validation, metric reconciliation, user acceptance testing, and adoption of standardized reporting. - Partner with Data Engineering and business stakeholders to validate semantic-layer logic, metric definitions, data quality, and reporting consistency. - Drive development of scalable Store Insights capabilities by identifying repeatable analytical opportunities, automating recurring analyses, and advancing self-service analytics. - Present findings and recommendations to senior leaders, influencing business strategy through clear storytelling and data-driven insights. - Support store growth analytics initiatives through data preparation, exploratory analysis, performance tracking, and post-investment measurement for new stores, remodels, and market activations. - Develop repeatable analytics workflows that reduce manual reporting effort and improve the speed, quality, and consistency of insight delivery. - Create executive-ready charts, tables, dashboards, and written summaries that communicate findings clearly to both technical and non-technical audiences. - Apply advanced analytics tools and techniques, including SQL, Power BI, Python, and external data sources, to solve complex business problems and continuously improve analytical capabilities. - Recommend new metrics, analytical approaches, and measurement frameworks that improve how Stores evaluate performance and make decisions. Qualifications - Bachelor’s degree in Analytics, Statistics, Economics, Mathematics, Business, Information Systems, or a related field; advanced degree a plus. - 8+ years of progressive experience in analytics, business intelligence, consulting, retail analytics, or related quantitative disciplines, with demonstrated success solving complex business problems through data. - Demonstrated experience performing diagnostic, root cause, and exploratory analyses that influenced business decisions. - Proven ability to work independently with minimal direction, prioritize competing initiatives, and manage multiple high-impact analytical projects. - Experience presenting analytical findings to senior leadership and influencing cross-functional stakeholders. - Advanced SQL proficiency with experience optimizing complex queries and working with large enterprise datasets. - Strong experience with Power BI, semantic models, DAX, and modern BI best practices. - Working knowledge of Python, statistical analysis, and modern analytics workflows. - Experience applying statistical methods, experimentation, forecasting, or predictive techniques is preferred. - Experience in retail, multi-unit operations, consumer analytics, or store performance analytics strongly preferred. - Strong attention to detail and demonstrated experience with data validation, KPI governance, and metric consistency. - Ability to synthesize findings into clear written and verbal recommendations for business stakeholders. - Experience working with cross-functional partners to translate business questions into analytical solutions. Requirements - Ability to sit and work at a computer keyboard for extended periods of time. - Ability to stoop, kneel, bend at the waist, and reach daily. - Able to lift and move up to 25 pounds occasionally. - Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment. - Hours regularly 40 hours per week, as work dictates, from a remote office location. Benefits - This role is eligible for healthcare including medical, dental and vision. - Retirement savings (401k with a company match). - Income protection programs such as life, accident and disability insurance. - Paid time off for sick leave, vacation, bereavement, jury duty, and holidays. - Wellbeing program. - Commuter, adoption assistance, education assistance, legal services, and employee merchandise discounts. Work-Life Balance - Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development. - Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend. - Holiday Early Departure | close out early the business day before a company observed holiday. The starting salary for this position is $106,800 – $145,000. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $222,394. Other compensation may include a 10% Annual Incentive Plan (AIP) bonus paid out according to policy. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.
A trusted source of fast, flexible funding for small businesses.
• Develop expertise in navigating and generating insights from internal databases (including Salesforce). • Partner with various departments to identify and outline data needs and requirements. • Work with Tableau and SQL to build customized dashboards, visual analyses, and self-serve tools for key stakeholders. • Leverage Snowflake Intelligence and Claude to build, optimize, and deploy AI-driven insights, automated reporting pipelines, or natural language querying tools for business teams. • Contribute to work across the Analytics department, including Analytics Engineering and Data Science.
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SQL, Python, Tableau, Observability/Monitoring, ETL, BigQuery
