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ektello

Engineering Data Analyst

On site

Mountain view, United states

Junior

Freelance

05-03-2026

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Skills

Communication Leadership Python Tableau Jira SQL Incident Response Workday CI/CD Test Problem-solving Attention to detail git power bi Organization Analytics CI/CD Pipelines ETL Processes

Job Specifications

Work Location: Mountain View, CA, USA

Work Schedule: Fully onsite

Education And Years Of Experience

Bachelors Degree or higher in an applicable field
3-5 years of experience in data analytics, business intelligence, or a related field

Top Skills

Strong SQL skills with experience querying complex, multi-source datasets
Proficiency in Python or R for data manipulation, analysis, and automation
Hands-on experience with BI/visualization tools (Tableau, Power BI, or similar)
Familiarity with engineering workflows and tools (JIRA, Git, CI/CD concepts)

Key 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 engineering

intelligence 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 Responsibilities

Engineering Metrics & Dashboards
Design, build, and maintain dashboards for sprint velocity, cycle time, release frequency, and deployment success
Create automated reporting pipelines using Python to reduce manual data gathering
Establish standardized metrics definitions across US, Bangalore, and Warsaw teams
Quality Analytics
Track and visualize bug rates, test coverage, incident response times, and technical debt trends
Build early warning systems to identify quality issues before they impact delivery
Partner with engineering leads to define quality benchmarks and improvement targets
Team Health & Capacity Planning
Develop capacity planning models and utilization dashboards
Analyze hiring pipeline data to support workforce planning decisions
Monitor attrition patterns and provide insights to support retention efforts
Data Integration & Automation
Connect and normalize data from JIRA, HR systems (Workday), Git repositories, and CI/CD tools
Build reliable ETL processes to ensure data freshness and accuracy
Document data sources, transformations, and metric calculations
Stakeholder Communication
Deliver weekly/monthly reports to engineering leadership
Translate complex data findings into clear, actionable recommendations
Support quarterly business reviews with relevant engineering metrics

Qualifications (Required)

3-5 years of experience in data analytics, business intelligence, or a related field
Strong SQL skills with experience querying complex, multi-source datasets
Proficiency in Python or R for data manipulation, analysis, and automation
Hands-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 environment
Excellent 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 timezones
Background in ad tech, media, or high-growth technology companies

Location & Availability

US-based with ability to work Pacific timezone hours
Available for occasional overlap calls with Bangalore (morning) and Warsaw (afternoon) teams
Full-time availability (40 hours/week) for 6+ month engagement

Culture Fit

Operational Excellence - Systematic approach to problem-solving; attention to detail and data accuracy
Self-Direction - Proactively identifies gaps and opportunities without waiting to be asked
Global Mindset - Comfortable collaborating asynchronously with distributed teams across timezones
Clear Communication - Explains complex analysis simply; writes documentation others can follow
Continuous Improvement - Iterates on dashboards and processes based on user feedback

About the Company

ektello is a national staffing firm that places Creative, Marketing, Digital & Information Technology talent. At ektello it's all about delivering the best experience for both our talent and clients. Our goal is to create the most seamless career search and hiring process for our talent while responding quickly and efficiently to our client's needs. Search Current Career Opportunities: http://www.ektello.com/search-jobs Services include Contractor, Contract to Hire, Direct Hire and Statement-of-Work in the following j... Know more