Data Analyst (Engineering Data Analyst)

Data Analyst 3(Engineering Data Analyst)Mountain View, CA (Fully onsite)6 MonthsKEY RESPONSIBILITES/REQUIREMENTS:We are seeking a Data Analyst contractor to support the Core Engineering organization. In this embedded role, you will partner directly with engineering leadership to build and maintain a comprehensive engineeringintelligence platform spanning delivery metrics, quality indicators, and team health analytics across our global development centers in the US, Bangalore, and Warsaw.The ideal candidate combines strong technical skills (SQL, Python, Looker) with analytical rigor and clear communication.You will work across multiple data sources—including JIRA, HR systems, Git, and CI/CD pipelines—to surface actionable insights that drive operational decisions and team effectiveness.Key ResponsibilitiesEngineering Metrics & DashboardsDesign, build, and maintain dashboards for sprint velocity, cycle time, release frequency, and deployment successCreate automated reporting pipelines using Python to reduce manual data gatheringEstablish standardized metrics definitions across US, Bangalore, and Warsaw teamsQuality AnalyticsTrack and visualize bug rates, test coverage, incident response times, and technical debt trendsBuild early warning systems to identify quality issues before they impact deliveryPartner with engineering leads to define quality benchmarks and improvement targetsTeam Health & Capacity PlanningDevelop capacity planning models and utilization dashboardsAnalyze hiring pipeline data to support workforce planning decisionsMonitor attrition patterns and provide insights to support retention effortsData Integration & AutomationConnect and normalize data from JIRA, HR systems (Workday), Git repositories, and CI/CD toolsBuild reliable ETL processes to ensure data freshness and accuracyDocument data sources, transformations, and metric calculationsStakeholder CommunicationDeliver weekly/monthly reports to engineering leadershipTranslate complex data findings into clear, actionable recommendationsSupport quarterly business reviews with relevant engineering metrics.Education and years of Experience:Bachelors Degree or higher in an applicable field3-5 years of experience in data analytics, business intelligence, or a related fieldQualifications (Required)3-5 years of experience in data analytics, business intelligence, or a related fieldStrong SQL skills with experience querying complex, multi-source datasetsProficiency in Python or R for data manipulation, analysis, and automationHands-on experience with BI/visualization tools (Tableau, Power BI, or similar)Familiarity with engineering workflows and tools (JIRA, Git, CI/CD concepts)Ability to work independently and manage multiple priorities in a fast-paced environmentExcellent communication skills—can translate data into clear insights for technical and non-technical audiences(Preferred)Experience with Looker (LookML knowledge a plus)Experience with engineering metrics (velocity, cycle time, DORA metrics)Exposure to HR/people analytics (capacity planning, attrition analysis)Familiarity with data pipeline tools (dbt, Airflow, or similar)Experience working with distributed/global teams across multiple timezonesBackground in ad tech, media, or high-growth technology companiesLocation & AvailabilityUS-based with ability to work Pacific timezone hoursAvailable for occasional overlap calls with Bangalore (morning) and Warsaw (afternoon) teamsFull-time availability (40 hours/week) for 6+ month engagementCulture FitOperational Excellence – Systematic approach to problem-solving; attention to detail and data accuracySelf-Direction – Proactively identifies gaps and opportunities without waiting to be askedGlobal Mindset – Comfortable collaborating asynchronously with distributed teams across timezonesClear Communication – Explains complex analysis simply; writes documentation others can followContinuous Improvement – Iterates on dashboards and processes based on user feedbackTop Skills:Strong SQL skills with experience querying complex, multi-source datasetsProficiency in Python or R for data manipulation, analysis, and automationHands-on experience with BI/visualization tools (Tableau, Power BI, or similar)Familiarity with engineering workflows and tools (JIRA, Git, CI/CD concepts).Beeline Summary:The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.Job Responsibilities:Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries.Establishes standardized methods of recording, tracking and reporting on activity.Design, implement, automate and maintain large scale enterprise data ETL processes.Modify existing databases and database management systems and/or direct programmers and analysts to make changes.Skills:Ability to work as part of a team, as well as work independently or with minimal direction.Excellent written, presentation, and verbal communication skills.Demonstrated knowledge of one or more key information service standards such as SDLC, ITIL, QA/testing, Project Management, Six Sigma, etc.Strong PC skills including knowledge of Microsoft SharePoint.Education/Experience:Bachelor's degree in a technical field such as computer science, computer engineering or related field required.5-7 years of experience required.Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.