Business Data Specialist
Listed on 2026-01-12
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Business
Data Analyst, Business Systems/ Tech Analyst -
IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Kimball Midwest, a national distributor of maintenance, repair, and operation products, is searching for a Business Data Specialist for our Columbus, Ohio location.
As a Kimball Midwest associate, you will experience why we have been recognized as one of the Top Workplaces in Columbus Thirteen years in a row! Our sales revenue growth is dynamic, increasing from $1 million in 1983 to over $500 million today. Throughout all our growth we have kept the family owned and operated culture alive. At Kimball Midwest, you are a name and not a number and we pride ourselves on our unique culture.
MissionThe Customer Journey Specialist operationalizes market intelligence to inform and align key business functions-lead distribution, territory planning, recruiting strategy, and long-term growth planning. This role ensures target market analysis (TMA) insights move beyond analysis into execution by embedding data-driven frameworks into enterprise processes and programs.
Through disciplined analytics, cross-functional collaboration, and strategic integration, the Business Data Specialist drives smarter, evidence-based decisions that strengthen organizational alignment, optimize resource allocation, and advance long-term growth objectives.
Responsibilities Customer Journey Insights- Map, analyze, and optimize the end-to-end customer journey to identify pain points, opportunities, and moments of impact that enhance the overall customer experience.
- Collect, synthesize, and interpret customer data, feedback, and behavioral insights to inform marketing strategies and program improvements.
- Partner with cross-functional teams to translate customer insights into actionable recommendations that drive engagement, satisfaction, and loyalty.
- Develop and maintain customer personas, journey maps, and segmentation models to ensure marketing initiatives are targeted, relevant, and customer‑centric.
- Monitor key experience metrics (e.g., NPS, satisfaction, retention, conversion) and report findings to guide continuous improvement across touchpoints.
- Support the development of integrated marketing campaigns by ensuring alignment with customer insights and journey priorities.
- Continue to own and refine the enterprise process for lead distribution to ensure accuracy, fairness, and alignment with market opportunity.
- Maintain data integrity and lead routing logic within enterprise systems
- Monitor lead flow performance, identifying opportunities to improve conversion, coverage, and speed to contact.
- Provide reporting and insights on lead distribution trends and impact.
- Design and implement a structured process for data‑driven territory planning in close partnership with Sales and HR leadership.
- Translate TMA insights into practical market playbooks that identify where to win—focusing on areas with the highest potential for market share growth.
- Partner with HR and Sales to translate TMA findings into targeted recruiting priorities.
- Identify priority markets for resource deployment based on opportunity data and growth potential.
- Help sales leaders prioritize where to focus their next hire, where to generate initial "seed" business, and where to activate local market campaigns (e.g., LPA) to warm up opportunity zones.
- Contribute insights that shape long‑term workforce and talent planning strategies.
- Maintain and enhance the accuracy, timeliness, and usability of TMA data, dashboards, and tools.
- Monitor and report on the impact of TMA‑driven decisions and strategies to ensure accountability and value realization.
- Stay connected with the salesforce to gather feedback, track usage, and share wins to build momentum and keep improving the experience.
- Create and maintain training and communication resources that drive adoption and confidence.
- Managing vendor relationships, ensuring data quality, and partnering with BI/IT to automate updates and reporting.
- Bachelor's degree in Business Administration, Marketing, Data Science, Computer Science, or equivalent years of experience.
- 2-4 years of experience in data analytics.
- Advanced experience with SQL and…
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