8 days ago

Senior Data Analyst

7Seventy Recruiting

Hybrid
Full Time
$105,000
Hybrid

Job Overview

Job TitleSenior Data Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$105,000
LocationHybrid

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Job Description

About the Senior Data Analyst Role at 7Seventy Recruiting

This is an excellent opportunity for a Senior Data Analyst to lead high-impact analytics initiatives, primarily serving growth-stage clients. The core focus of this role is to significantly accelerate time-to-insight by delivering advanced data analytics solutions, actively supporting data diligence efforts, and making meaningful contributions to fractional data science projects. This position uniquely blends hands-on analytical execution with crucial leadership responsibilities, including the mentorship of team members and continuous research into new technologies to expand internal capabilities.

What You’ll Do as a Senior Data Analyst

  • Lead end-to-end analytics and data science projects for clients, managing everything from initial scoping to final delivery.
  • Conduct advanced data analysis, perform deep investigations, and spearhead data visualization initiatives to uncover critical insights.
  • Design and provide support for data integration and ETL development projects, ensuring robust data pipelines.
  • Build statistical models and actively contribute to machine learning initiatives, advancing client capabilities.
  • Research and rigorously evaluate emerging technologies and methodologies to continuously strengthen internal analytics capabilities.
  • Serve as a player-coach, effectively mentoring junior analysts and fostering the development of internal best practices.
  • Collaborate directly and extensively with clients to accurately translate complex business challenges into clear, actionable data solutions.

Qualifications for the Senior Data Analyst Position

  • Bachelor’s degree in Analytics, Economics, Mathematics, Computer Science, or a closely related quantitative field.
  • 3–5 years of relevant professional experience specifically in data analytics.
  • Strong SQL proficiency is a mandatory requirement.
  • Experience with R or Python programming languages is preferred.
  • Advanced proficiency in leading BI tools such as Tableau, Power BI, or Looker.
  • Demonstrated ability to lead projects independently and effectively guide junior team members.
  • Exceptional analytical thinking and robust problem-solving skills.
  • A strong intellectual curiosity for emerging analytics tools and strategic methodologies.
  • Familiarity with modern data stack tools including ETL platforms (e.g., Stitch, Rivery, Fivetran), cloud data warehouses (e.g., BigQuery, Redshift, Snowflake), and leading BI platforms.

Compensation & Benefits

The base salary for this Senior Data Analyst role ranges from $90,000 to $120,000 per year. Additional compensation may include various bonus opportunities, and comprehensive benefits are offered, with eligibility varying based on company policy.

Key skills/competency

  • Data Analysis
  • SQL
  • Data Visualization
  • ETL Development
  • Statistical Modeling
  • Machine Learning
  • Project Leadership
  • Mentorship
  • Cloud Data Warehousing
  • Business Intelligence

Tags:

Senior Data Analyst
Data Analytics
SQL
Business Intelligence
Data Modeling
ETL
Machine Learning
Data Visualization
Project Leadership
Cloud Data Warehouses
Python
R
Tableau
Power BI
Looker
BigQuery
Redshift
Snowflake
Stitch
Fivetran

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How to Get Hired at 7Seventy Recruiting

  • Research 7Seventy Recruiting's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Highlight SQL, BI tools (Tableau/Power BI/Looker), and project leadership for data analyst roles.
  • Showcase your analytical projects: Prepare a portfolio demonstrating your end-to-end data analysis, modeling, and visualization skills.
  • Prepare for technical interviews: Practice advanced SQL queries, discuss ETL concepts, and demonstrate problem-solving with Python/R.
  • Demonstrate client collaboration: Be ready to discuss how you translate business needs into data solutions and mentor junior team members.

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