Sql data analyst [h1.location_city]

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Sql data analyst • santa clara ca

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[promoted]
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[job_card.full_time]

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[job_card.full_time]

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[job_card.part_time] +1

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[job_card.full_time]

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Intuit through CTS (Onsite - Mountain View, CA).[show_more][last_updated.last_updated_30]

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[job_card.full_time]

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Engineering Data Analyst

Staffmark GroupMountain View, CA, United States

[job_card.variable_hours_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

Job Title : Engineering Data Analyst

Location : Mountain View, CA

Pay Rate Range : 69.00- 69.00 / hr

Staffmark Workforce Solutions offers this exciting contract opportunity with a global leader in electronics, mobile devices, and appliances located inMountain View, CA

Engineering Data Analyst

Top Skills

1. 3-5 years of experience in data analytics, business intelligence, or a related field

2. Strong SQL skills with experience querying complex, multi-source datasets

3. Familiarity with engineering workflows and tools (JIRA, Git, CI / CD concepts)

Position Description

We are seeking an Engineering Data Analyst 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.

Responsibilities

1. 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 the US, Bangalore, and Warsaw teams

2. 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

3. 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

4. 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

5. 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

Requirements :

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

Flexible availability for overseas calls

(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 time zones

Background in ad tech, media, or high-growth technology companies

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 time zones

Clear Communication - Explains complex analysis simply; writes documentation others can follow

Continuous Improvement - Iterates on dashboards and processes based on user feedback

Staffmark talent working with this clientreceive competitivecompensation anda great benefits package including medical, dental, vision, 401K, and Paid Time Off, plus more!

Click "Apply Now" to connect with a recruiter!

The base pay range listed reflects what we reasonably expect to offer for this role. Actual pay may vary based on location, experience, and performance. Depending on the position, benefits may include medical, dental, and vision coverage; retirement and savings plans; paid holidays and time off; supplemental insurance; and additional wellness or incentive programs.

After you have applied, download our Staffmark Group WorkNOW App to receive real-time job offers and apply for additional opportunities. You can download it from the App Store or get it on Google Play.

About Us

At Staffmark, we connect hardworking people with great companies, creating opportunities that make a lasting impact.

Staffmark is an equal opportunity employer. Allapplicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Staffmark offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Staffmark is an E-Verify employer. See our Privacy Notice for Candidates and Employees / Contractors at https : / / smgroupna.com / privacy-notice-for-candidates-and-employees-contractors. By applying, you consent to receive AI-generated and non-AI-generated calls, texts, or emails from Staffmark Group, its affiliates, and partners. Frequency varies and message / data rates may apply. Reply STOP to cancel or HELP for help.