Data Scientist - Hybrid - Indianapolis, IN

aFit Staffing•Indianapolis, IN
•Hybrid

About The Position

aFit Staffing is seeking a Data Scientist to support a client’s data quality, reporting, and process improvement initiative in Indianapolis, Indiana. This role focuses on maintaining and improving Salesforce data quality, developing Tableau dashboards and visualizations, and identifying ways to make reporting and business processes more effective. The position offers opportunities to work independently, collaborate with stakeholders across the organization, and provide guidance to a data science intern. The Data Scientist will clean and analyze Salesforce data, maintain records and data standards, and contribute to data documentation. The role also develops and improves Tableau reports and dashboards, translates stakeholder needs into actionable visualizations, and maintains appropriate dashboard access controls. In addition, the position supports data governance and process improvement, communicates findings and recommendations to technical and non-technical audiences, and helps guide an intern. This is a full-time placement opportunity with a hybrid schedule: three days onsite and two days remote in Indianapolis, Indiana.

Requirements

  • Experience working with Salesforce data, including data cleanup, record merging, data standardization, and data quality analysis.
  • Proficiency in Tableau, including dashboard development, data visualization, and reporting.
  • Familiarity with data analysis techniques and identifying patterns, inconsistencies, and anomalies in datasets.
  • Strong analytical, critical-thinking, and problem-solving skills.
  • Ability to work independently, take initiative, and make sound decisions with minimal supervision.
  • Excellent communication and collaboration skills.
  • Ability to work a hybrid schedule in Indianapolis, with three days onsite and two days remote.

Nice To Haves

  • Experience with data governance, data dictionaries, data mapping, or data management standards.
  • Familiarity with SQL, Excel, scripting, or data deduplication tools.
  • Experience with Tableau row-level security and role-based access controls.
  • Experience reviewing and optimizing existing reports and dashboards.
  • Previous experience mentoring interns, providing task direction, or leading work informally.

Responsibilities

  • Clean Salesforce data by identifying and merging duplicate records, correcting inaccurate information, and standardizing account and contact data.
  • Analyze datasets for inconsistencies, anomalies, duplicate records, and opportunities to improve data accuracy.
  • Use data extracts, scripts, deduplication tools, and analytical techniques to identify and resolve data quality issues.
  • Create and maintain Salesforce records as needed and support consistent data categorization standards.
  • Contribute to data documentation, including development of a data dictionary and data map.
  • Develop, maintain, and improve Tableau dashboards and visualizations, from straightforward reports to moderately complex dashboards.
  • Review existing reports and dashboards to assess usage, effectiveness, and opportunities for improvement.
  • Partner with stakeholders to understand reporting needs and translate them into useful, actionable visualizations.
  • Implement and maintain dashboard access controls, including row-level security and role-based permissions.
  • Support data governance practices that promote data accuracy, consistency, integrity, and usability.
  • Identify opportunities to streamline data management, reporting, and business processes.
  • Recommend and document improvements to data handling procedures and reporting workflows.
  • Collaborate with technical and non-technical stakeholders to understand requirements and deliver effective solutions.
  • Provide guidance, mentorship, and task direction to a data science intern.
  • Work collaboratively with program teams, IT, and organizational leadership.
  • Communicate findings, recommendations, and technical concepts clearly to audiences with varying levels of technical expertise.
  • Take initiative, make informed decisions, and manage priorities independently.

Benefits

  • Autonomy and flexibility, with an environment that values initiative, independent decision-making, and minimal micromanagement.
  • Technical growth through applying and expanding Salesforce, Tableau, analytics, and data governance expertise.
  • Collaborative environment with stakeholders across multiple teams.
  • Leadership development through mentoring and guiding an intern.
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