Data Strategist

The Seed Company•Arlington, TX

9h•Hybrid

About The Position

The Data Strategist is an integral member of the Data Analytics team, serving as a bridge between organizational data needs and actionable insights. This role supports high-impact leadership reporting, fundraising analytics, field program reporting, and operational data management—while also contributing to the development of the organization’s long-term data strategy, governance framework, and data culture. The ideal candidate will be a collaborative, team-oriented problem-solver who is equally comfortable designing BI solutions, ensuring data quality and integrity, and helping leaders and departments use data to make informed decisions.

Requirements

Strong faith in Jesus Christ as Savior; God-honoring lifestyle.
Passion for the Word of God and provision of the Word for every people group.
Championing Seed Company’s vision, mission, and values.
Strong interpersonal, oral, and written communication skills.
Bachelor’s degree in Math, Computer Science, Data Analytics, or related field, or 2–4 years of equivalent experience in technology, data management, or analytics.
Solid understanding of SQL and relational databases.
Experience with BI tools (Domo, Power BI, Tableau, etc.).
Proven analytical, problem-solving, and data storytelling skills.
Collaborative and approachable, with a service-oriented mindset.
Curious and persistent in solving complex problems.
Able to balance immediate tactical needs with long-term strategic priorities.

Nice To Haves

Cloud platform experience (AWS, Azure, Google Cloud).
Domo certification or advanced Domo experience.
API integration and data pipeline experience.
Familiarity with Python, R, or JavaScript for data manipulation.
Experience with data governance frameworks.

Responsibilities

Partner with leadership to deliver timely, accurate, and relevant data for decision-making and performance tracking.
Partner with organizational groups and teams to ensure accurate and accessible reporting for governance, leadership, and management levels.
Respond to ad-hoc data requests, conducting research and analysis to support management decision-making.
Ensure data visualizations, pages, and dashboards present the data in a clear and informative manner.
Support the maintenance and enhancement of organizational KPIs, progress tracking, and performance dashboards.
Assist in the integration and management of cross-system data flows (e.g., Salesforce, Cord Field, external datasets like Progress Bible or DBL).
Identify and work with the Data Architect and Manager, Data Analytics to address data quality issues, ensuring accuracy, integrity, and completeness.
Partner together with the Data Analytics team and Data Stewards to provide data solutions.
Contribute to the design and execution of the organization’s long-term data strategy and roadmap.
Help support the data governance framework, defining ownership, access, and stewardship.
Provide understanding of the impact on the business areas (Field, Investor, and Operations) as data governance is determined, changed, and implemented.
Support the creation and maintenance of an organizational data dictionary/glossary, ensuring consistency in terminology and metrics.
Participate in the Data Steward Team, including providing ad-hoc training and enablement for departmental stewards.
Assist in the development and implementation of a QA process for dashboards, reports, and metrics.
Design, build, and maintain BI dashboards and visualizations (currently in Domo) for leadership, groups, and individuals within the organization.
Translate complex data into clear, actionable insights.
Administer BI platform access, roles, and permissions.
Stay current on data analytics trends, tools, and best practices.
Attend and participate in organizational meetings, working groups, and cross-department initiatives.
Maintain required knowledge of relevant operating procedures, processes, and policies.
Occasionally respond to off-hour data system issues.
Participate in projects with organization-wide impact as assigned.