Lead Analytics Engineer

Socket.dev; United States; Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, and Vis

401(k) with employer match

Company-paid Life Insurance

HSA & FSA options

Employee Assistance Program (EAP)

Adoption Assistance

Commuter Benefits

Coursera Certifications

Generous vacation & sick time

Job summary

ComputerCare is seeking a hands‑on Lead Analytics Engineer to own data architecture, pipelines, and BI reporting from the ground up. You’ll build data models, automate reporting, and partner with leadership to turn questions into trusted analytics products.

You will directly own Snowflake, ETL/ELT pipelines, and BI layers (HEX) while evaluating Tableau/Looker as we scale, with cross‑functional collaboration across operations, finance, and engineering.

Qualifications

• 5+ years in analytics engineering, data engineering, or analytics.
• First data practitioner preferred; strong SQL and modeling.
• Experience with Snowflake, BI dashboards, and data pipelines.

Responsibilities

• Own Snowflake data warehouse, ETL/ELT pipelines, and transformation layer.
• Build and operate integrations from NetSuite, Jira, and custom apps.
• Own BI layer (HEX) and evaluate Tableau/Looker as we scale.
• Translate goals into data models, dashboards, and automated insights.
• Ensure data quality, governance, and documentation.

Skills

SQL

Snowflake

Data Modeling

ETL/ELT

HEX

NetSuite

Jira

dbt

Fivetran

Celigo

APIs scripting

BI Dashboards

Looker

Tableau

PowerBI

Tools

Looker/Tableau/PowerBI

dbt

Fivetran

Celigo

NetSuite

Job description

ComputerCare has spent more than 20 years building something rare in the IT world: a company where technical excellence and genuine human connection are valued equally. We're the trusted partner that IT leaders turn to when technology can't afford to fail. As a woman-owned business serving innovative companies worldwide, we combine certified technical expertise with a human approach. Whether it's managing complex device lifecycles for global teams or performing authorized repairs for Apple, Lenovo, HP and Dell devices, our work directly impacts how thousands of people stay productive every day. We never outsource our work because we believe in accountability, quality, and building lasting relationships—with our clients and as a team.

If you're passionate about technology, take pride in solving real problems, and want to be part of a company that values both technical excellence and the people behind it, ComputerCare is where you belong.

Come join us in our mission of being the Human Side of Hardware!

We're building our data capabilities and looking for a hands‑on Lead Analytics Engineer to take ownership of our data function. As our first dedicated analytics hire, you'll own the pipelines, models, metric definitions, reporting, and data quality that our operations teams and leaders rely on to run the business.

In this role, you'll work closely with leadership and cross‑functional teams to turn operational questions into trusted data products, establish consistent definitions for the metrics that matter, and automate reporting that is currently assembled manually.

This is a hands‑on builder role, not a people‑management role. You'll write SQL, build and operate pipelines, and create models yourself. At the same time, you'll have the autonomy to determine priorities, establish analytics standards, and challenge or clarify requests when the underlying business question or data definition is unclear.

This role is ideal for an experienced analytics professional who is energized by ownership, ambiguity, and the opportunity to build a trusted analytics capability from the ground up.

What You'll Do:

• Own the Data Architecture: Own, maintain, optimize, and scale our Snowflake data warehouse, transformation layer, and ETL/ELT pipelines, making pragmatic architecture decisions as the business grows.
• Build and Operate Integrations: Stand up and own reliable ingestion from systems such as NetSuite, Jira/service platforms, and custom applications. Monitor pipelines, troubleshoot failures, and ensure data arrives accurately and reliably.
• Drive Business Intelligence: Own our BI layer (currently utilizing HEX), with the opportunity to evaluate and migrate to tools like Tableau or Looker as we scale.
• Partner with Leadership: Work hand‑in‑hand with the COO to translate operational goals into data models, dashboards, and actionable insights.
• Own Data Quality & Governance: Establish trusted metric definitions, documentation, testing, and data‑quality standards. Maintain the metric dictionary and clearly communicate when data is incomplete or should not be relied upon.
• Automate Operational Reporting: Take ownership of recurring operational reporting, ad hoc analysis, SLA reporting, and client review data. Build repeatable, automated solutions that replace manual reporting processes.
• Experiment & Innovate: Stay creative. We want someone who suggests new tools, tests experimental models, and constantly looks for better ways to solve problems.
• Cross‑Functional Partnership: Act as the primary data consultant for operations, finance, and engineering leaders. Translate their real‑world operational challenges into data models and actionable, automated dashboards.

Roles & Responsibilities

• The "Hybrid" Professional: You sit comfortably at the intersection of Data Engineering (building pipelines, data modeling) and Data Analytics (BI, dashboards, telling stories with data).
• Meticulous & Detail‑Oriented: You care deeply about clean code, accurate numbers, and reliable pipelines. You build appropriate tests and controls so leaders can trust the numbers they use to make decisions.
• An Entrepreneurial Builder: You are excited by a blank canvas. You want to get your hands dirty, build from scratch, and take extreme ownership of your work.
• Curious & Adaptive: You love to learn, experiment with new technologies, and pivot quickly when a better solution presents itself.
• A High‑Impact Communicator: You don't just love data; you love talking to the people who use it. You can sit down with a warehouse manager or a software engineer, understand their pain points, and build a data solution that makes their job easier.

What You'll Bring:

• Experience: 5+ years of experience across analytics engineering, data engineering, or analytics, including meaningful experience building data models and pipelines that others depend on. Experience as the first or only data practitioner is strongly preferred.
• Cloud Data Warehousing: Strong, hands‑on experience with Snowflake (architecture, performance tuning, and optimization).
• SQL & Pipeline Mastery: Advanced SQL skills are a must. Experience with integration/ETL tools (Celigo, Fivetran, dbt, or custom API scripting) is highly valued.
• BI & Visualization: Experience building impactful dashboards. Familiarity with HEX is a major plus; experience with Tableau, PowerBI, or Looker is required.
• Ecosystem Familiarity: Experience working with data originating from ERPs (NetSuite), project management tools (Jira), and custom web applications.
• Autonomy: Demonstrated ability to operate with limited structure, identify the highest‑value analytics work, set priorities, and move from problem definition through delivery without waiting for a backlog of assigned requests.

Perks and Benefits

• Comprehensive Medical, Dental, and Vision plans to keep you feeling your best
• 401(k) with employer match—because your future matters
• Company‑paid Life Insurance, plus HSA & FSA options
• Employee Assistance Program (EAP) for real support when you need it
• Adoption Assistance to help grow your family
• Commuter Benefits for an easier ride
• Free Coursera Professional Certifications to level up your skills
• Generous vacation & sick time, plus paid time off to give back to your community

At ComputerCare, we welcome passionate individuals who have the unrestricted right to work in the United States, including natural citizens and Green Card holders.

ComputerCare is proud to be an Equal Opportunity and Affimative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.