Top Data & Analytics Jobs in Huntsville, AL

Build scalable data foundations, analytics tooling, analysis pipelines, and trusted datasets for product and data science teams. Establish instrumentation and experimentation standards, improve data quality and discoverability, document metrics and workflows, and collaborate across Product, Engineering, Data Science, Data Engineering, and Business Intelligence. Use AI to accelerate engineering while validating outputs through testing, data validation, source-checking, and peer review.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Develops and delivers workforce analytics, scorecards, dashboards, and reports supporting human capital decisions. Provides real-time and forecasted workforce data for planning and business outcomes, using data analysis, visualization, forecasting, and modeling. The role collaborates with organizational stakeholders, applies creativity to influence decisions, and uses SQL and Workday Adaptive to analyze HR and workforce information.

Develops Power BI dashboards, reports, queries, and ad-hoc analyses for supply chain operations and strategic decisions. Translates business needs and integrated data into actionable visualizations, enhances data integration and maturity, and identifies root causes through descriptive and prescriptive analytics. Collaborates with business, technology, analysts, and data scientists on agile product development, supports innovation, and helps junior team members succeed.

Design and deliver end-to-end BI architecture, dashboards, self-service reporting, and predictive analytics. Integrate analytics into the CMM application, enforce data governance, ensure performance SLAs, support AI/ML solutions, and collaborate with stakeholders to translate business requirements into scalable reporting and metadata processes within a regulated environment.

Designs scalable ETL/ELT pipelines, analytics-ready data models, and executive dashboards using Python, SQL, Tableau, Power BI, and cloud tools. Performs data mining, modeling, validation, documentation, and reporting while collaborating with technical and business stakeholders. Provides mentorship and technical guidance on analytics engineering, workflow automation, and data best practices. The role is fully remote, requires U.S. citizenship, and requires or permits obtaining Public Trust and Top Secret eligibility.

Analyzes data from internal and external sources to identify business performance trends, root causes, and improvement opportunities. Builds dashboards, visualizations, reports, and business intelligence tools for stakeholders in the fintech space. Partners with internal teams to define data needs, communicate findings, recommend operational improvements, and support the UX/UI experience of data products.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Own client relationships and analytics strategy across digital measurement and GEO initiatives. Architect, audit, and QA GA4 and Adobe Analytics implementations; develop measurement frameworks, dashboards, experimentation plans, and causal analyses. Present insights to executive stakeholders, manage analytics workstreams, mentor teammates, and build AI-assisted workflows, automations, and scalable systems. The role combines traditional analytics with measurement of AI-powered search visibility and customer behavior.

Designs and maintains enterprise data architecture, including data lakes, warehouses, integrations, migrations, orchestration, and data management protocols. Partners with architects, DBAs, BI teams, product leaders, and business stakeholders to support analytics and data science. Requires deep experience with cloud data environments, Azure SQL, Microsoft Fabric, Spark, Hadoop, PySpark, SparkSQL, security protocols, and enterprise data integrations.