Data Analytics Specialist — Dashboards, Metrics, SQL

Tech Ladies, Inc.; Washington; On-site; USD 110,000 - 160,000; Full time

Job summary

Tech Ladies, Inc. is seeking a data analytics professional to merge analytics with data infrastructure. You will own semantic metrics, build dashboards, and partner with analytics and data engineers to deliver trustworthy, reproducible reports.

Responsibilities include designing Looker/Tableau dashboards, writing advanced SQL for Snowflake, and developing dbt models. Strong communication with stakeholders is essential for driving data-informed decisions.

Qualifications

• 3–6 years of experience in data analytics or BI at a product-driven company.
• Expert-level SQL with window functions, CTEs, and performance tuning.
• Hands-on dbt and a modern cloud data warehouse (Snowflake/BigQuery/Redshift).
• Python or R for analysis; familiarity with pandas/matplotlib libraries.
• Strong stakeholder management; translate questions into analyses.
• Bachelor’s degree in a quantitative field or equivalent experience.
• Bonus: A/B testing frameworks, LookML exposure, event analytics tools like Amplitude/Mixpanel.

Responsibilities

• Design and build dashboards and self-serve reporting for weekly decisions.
• Write complex SQL against a Snowflake warehouse and optimize large queries.
• Develop and maintain dbt models, tests, and documentation in a versioned repo.
• Perform deep-dive analyses on retention, funnel, pricing, and marketing spend.
• Define and implement consistent metric definitions across the semantic layer.
• Create Python-based analyses and automations to streamline reporting.
• Identify data quality issues and implement proactive checks with data engineering.

Skills

SQL proficiency

Python or R for analysis

Stakeholder management

Data analysis

Communication of insights

Education

Bachelor's degree in a quantitative field

Tools

dbt

Snowflake

BigQuery

Redshift

Looker

Tableau

Job description

Tech Ladies, Inc. is seeking a data analytics professional to merge analytics with data infrastructure. You will own semantic metrics, build dashboards, and partner with analytics and data engineers to deliver trustworthy, reproducible reports.

Responsibilities include designing Looker/Tableau dashboards, writing advanced SQL for Snowflake, and developing dbt models. Strong communication with stakeholders is essential for driving data-informed decisions.