Senior Data Analyst

Galvanize

$81K — $148K *
US-AnywhereRemote in Virginia, US
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics or related field
  • 8-10 years of relevant experience in SQL modeling, data analysis, and visualizations
  • Five years of experience in action and outcome-oriented data analysis
  • Expert-level SQL and strong Python for data analysis
  • Excellent collaboration and communication skills.

Responsibilities

  • Translate broad questions into detailed analytic approaches
  • Provide ad-hoc analyses to drive insights and outline major findings
  • Serve as a technical liaison for complex analytic questions
  • Recommend best courses of action based on analytic findings
  • Apply knowledge across analytics, statistics, data engineering, and business to create innovative solutions
  • Collaborate with stakeholders to define goals and analytic approaches
  • Leverage DBT, SQL, Python, and GitHub to analyze large datasets

Benefits

  • Robust benefits package including health benefits
  • Retirement contributions
  • Paid time off
  • Remote work option available for residents of all states and D.C.
Full Job Description

Job Description

SUMMARY: We are seeking a Senior Data Analyst to lead complex, open-ended analytic work that informs high-impact business and research decisions. This role operates with significant collaboration with research, data science, and business organizations, translating ambiguous questions into rigorous analyses and actionable insights. The ideal candidate combines strong statistical and technical expertise with excellent stakeholder partnership skills and thrives in long-running, evolving problem spaces.

ESSENTIAL FUNCTIONS:   Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.

·        Translate broad questions into well-defined analytic approaches, including defining populations, time windows, comparison groups, and appropriate methodologies;

·        Provide ad-hoc analyses to drive insights, provide overviews of major conclusions, constraints or cautions;

·        Serve as a technical liaison and subject matter expert for complex analytic questions;

·        Recommend best courses of action based on analytic findings, tradeoffs, and business constraints;

·        Apply working knowledge across multiple disciplines (analytics, statistics, data engineering, business context) to create innovative solutions;

·        Collaborate with researchers, data scientists, reporting, and business stakeholders to define goals, success metrics, and analytic approaches;

·        Leverage DBT, SQL, Python and GitHub to extract, transform, and analyze large complex datasets;

·        Provide support for products and applications powered through dashboard and reporting services;

·        Process confidential data and information according to guidelines.

Supervisory Responsibilities: This position has no formal supervisory responsibilities.

REQUIRED QUALIFICATIONS:   

·        Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics or related field

·        8-10 years of relevant professional experience with SQL modeling, Data Analysis and visualizations including at least three (5) years of experience performing action and outcome-oriented data analysis OR

·        Demonstrated experience in handling large data sets and relational databases for data products

·        OR Equivalent combination of education and experience

·        Expert-level SQL and strong python for data analysis

·        Excellent collaboration, communication, and stakeholder-management skills

·        Ability to travel up to 10% of the time

·        Ability to clear required background check

Certificates and Licenses: None required.

DESIRED QUALIFICATIONS:  

·        (5+) years modeling with DBT / Snowflake preferred

·        Experience working with educational data, research datasets, or longitudinal data

·        Experience working with research and/or data science teams

WORK ENVIRONMENT:  The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

·        This position is virtual and open to residents of the 50 states and D.C.

Compensation & Benefits: Stride, Inc. considers a person’s education, experience, and qualifications, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee’s salary level.  Salaries will differ based on these factors, the position’s level and expected contribution, and the employee’s benefits elections.  Offers will typically be in the bottom half of the range.

  • We anticipate the salary range to be $81,045.75- $148,000.00. An individual’s compensation can vary based on several factors which include, but are not limited to, geographic location, experience, training, education, and local market conditions. Eligible employees may receive a bonus. Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off.

Job Type

Regular

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