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Senior Data Storyteller Jobs in Indiana (NOW HIRING)

We have an immediate opening for a Senior Data Consultant. If the idea of working on challenging ... Capture business requirements, convert them to user stories or developer requirements, and ...

Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems ... thorough data architecture strategies that meet current and future business needs. As a Senior ...

Senior Product Marketing Manager Reports To: VP of Marketing Position Overview The Senior Product ... story * Data-driven mindset, comfortable using metrics and analytics to measure go-to-market impact ...

Senior Product Marketing Manager Reports To: VP of Marketing Position Overview The Senior Product ... story * Data-driven mindset, comfortable using metrics and analytics to measure go-to-market impact ...

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Senior Data Storyteller information

What is the difference between Senior Data Storyteller vs Data Analyst?

AspectSenior Data StorytellerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Communications, or related fields; experience in storytelling and visualizationBachelor's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborates with marketing, product, and executive teams to craft narratives from dataAnalyzes data sets to identify trends, generate reports, and support decision-making
Employer & Industry UsageUsed across tech, finance, healthcare, and marketing sectors for communicating insightsCommon in finance, consulting, healthcare, and tech industries for data-driven decision support

The Senior Data Storyteller focuses on translating complex data into compelling narratives and visualizations for diverse audiences, often working closely with communication teams. In contrast, Data Analysts primarily analyze data sets to identify trends and generate reports. While both roles require strong analytical skills, the Senior Data Storyteller emphasizes storytelling and visualization expertise to effectively communicate insights.

What is a senior data storyteller?

A Senior Data Storyteller is a professional who specializes in translating complex data analyses into compelling, clear narratives that drive understanding and decision-making. They combine expertise in data analysis with strong communication and visualization skills to present insights in ways that resonate with diverse audiences, from executives to non-technical stakeholders. Senior Data Storytellers often collaborate with data scientists, analysts, and business leaders to identify key messages and build persuasive stories that support strategic objectives. Their work helps organizations make data-driven decisions by making data accessible and actionable.

What are the key skills and qualifications needed to thrive as a senior data storyteller, and why are they important?

To thrive as a Senior Data Storyteller, you need advanced data analysis, visualization, and communication skills, often supported by a degree in data science, statistics, or a related field. Expertise with tools like Tableau, Power BI, and programming languages such as Python or R is typically required, along with experience using data storytelling frameworks. Outstanding narrative ability, creativity, and stakeholder engagement are crucial soft skills for translating complex insights into compelling, actionable stories. These skills are vital for bridging the gap between data and decision-makers, ensuring insights drive strategy and organizational impact.

How much do senior data storytellers make?

Senior data storytellers typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. They often possess skills in data visualization tools like Tableau or Power BI and have strong communication abilities to translate complex data into clear narratives.

How does a senior data storyteller typically collaborate with stakeholders across different departments?

Senior Data Storytellers work closely with cross-functional teams such as marketing, product, and executive leadership to understand their goals and tailor data-driven narratives accordingly. They often facilitate workshops or meetings to translate complex analytics into compelling visual stories that are easily understood and actionable. Building these collaborative relationships is key to ensuring that insights are aligned with business objectives and that recommendations have a measurable impact.
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Assistant Vice President, Senior Data Analyst

Interra Credit Union

Goshen, IN

$76K - $96K/yr

Full-time

Re-posted 5 days ago


Interra Credit Union rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

WHAT YOU WILL DO EVERYDAY

As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the Analyst role. You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk, transforming large and complex datasets into actionable insights that drive enterprise decision-making. You will help define data strategy, elevate governance practices, and mentor decentralized data users to strengthen Interra’s datadriven culture.

You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models—owning highercomplexity initiatives and serving as an escalation point for technical issues.

Direct Reports: None

HOW YOU WILL MAKE AN IMPACT

40%            Lead complex analytical assessments across business lines to identify trends, risks, member behavior patterns, and optimization opportunities.

Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management. Translate complex analysis into concise, actionable recommendations for senior leaders.

 

20%            Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI. Ensure reporting environments are accurate, scalable, and aligned with governance standards. Serve as the technical lead for defining reporting requirements and business logic.

 

15%            Oversee and elevate organizational data governance practices including dictionaries, catalogues, metadata, standards, and definitions. Identify data quality issues, troubleshoot discrepancies, and drive crossfunctional resolution. Serve as steward of “single source of truth” practices across the enterprise.

 

15%         Partner with IT and data engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage. Prioritize data needs, support ingestion of new data sources, and validate data flowing through the architecture. Support advanced use cases for decentralized data users and crossdepartment teams.

 

10%            Guide and mentor data analysts and datacurious staff, helping elevate analytical literacy and best practices. Lead complex projects requiring collaboration across multiple departments. Continuously improve tools, processes, automation, and analytic methodologies.

— Must comply with all company policies and procedures, applicable laws, and regulations, including but not limited to, the Bank Secrecy Act, the USA PATRIOT Act, and the Office of Foreign Assets Control.

WHAT YOU WILL NEED TO SUCCEED

Experience

5+ years of progressive experience in data analysis, business intelligence, or analytics within a financial institution or related industry. Demonstrated experience delivering actionable insights that influence business decisions. Experience working with large datasets and cross-functional stakeholders required.

Education / Certifications / Licenses

This level of knowledge is normally acquired through completion of a Bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Finance, Business, or related field. (Will consider additional years of relevant experience in lieu of education requirement.) Must have and maintain a valid driver’s license.

 

PREFERRED SKILLS

-  Proven expertise in transforming large, complex datasets into meaningful business intelligence to support marketing, product, and growth strategies.

-  Strong proficiency in statistical modeling, data mining, and interpreting behavioral data to identify member trends and campaign performance drivers.

-  Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver compelling, executive-ready dashboards that guide strategic decisions.

-  Proficient in SQL and comfortable querying data across structured and unstructured data sources; experience with cloud data platforms (e.g., Snowflake, BigQuery) preferred.

-  Demonstrated ability to translate data into marketing and business insights that drive measurable outcomes in acquisition, engagement, and retention.

-  Hands-on experience with data tools such as Python or R to support data preparation, automation, and predictive modeling.

-  Strong understanding of data warehouse architecture, dimensional modeling, and ETL processes to ensure scalable, accurate data pipelines.

-  Ability to assist in the execution of a BI roadmap aligned to enterprise and marketing goals, including the creation of KPIs and performance scorecards.

-  Knowledge of data governance, data quality practices, and compliance standards relevant to member privacy and financial regulations.

-  Strong communication skills with a track record of influencing cross-functional stakeholders through data storytelling and actionable recommendations.

-  Demonstrated experience working in a financial services or highly regulated environment, with familiarity in interpreting member behavior and credit union KPIs.

-  Effective project management skills with a focus on delivering high-impact analytics projects on time and with stakeholder buy-in.

-  Ability to mentor analysts and foster a culture of data curiosity and continuous learning.

-  Strong business acumen and the ability to connect analytics work directly to organizational growth, revenue, and member satisfaction.

-  Commitment to Interra’s mission and member experience, with a passion for leveraging data to deliver meaningful impact.

INTERPERSONAL SKILLS

·        Strong interpersonal skills—willingness to engage with team members across the organization.

·        Interest in making a tangible impact at a mission-driven, community-focused financial institution.

·        Ability to communicate complex analytical concepts to non-technical stakeholders in a clear and understandable manner.

·        Ability to influence decision-making through data-driven insights and thoughtful recommendations.

·        Represent the credit union in a professional and positive way, both internally and externally at all times.

COMPETENCIES

Decision Making - Makes sound decisions in a timely manner using critical thinking, problem solving, insights, and experience. Demonstrates sound judgment that proves to be accurate and correct over time.

Drive Engagement - Demonstrates drive and fosters an inclusive environment that motivates others. Alters approach to each person to promote optimal performance and commitment to the Interra mission, vision, and objectives.

Effective Communication - Utilizes a variety of communication modalities effectively and appropriately across multiple channels. Is effective in a variety of communication settings: one-on-one, small, and large groups, or among diverse styles and position levels. Adjusts to fit the message to the audience. Provides timely and helpful information to others across the organization.

Functional Expertise - Maintains strong technical knowledge in data analytics and stays current on industry trends, tools, and best practices.

Maintain Accountability - Takes ownership of work, ensures accuracy, and meets deadlines with high standards of quality.

ADA REQUIREMENTS

Physical Requirements

-  Able to bend, sit, and stand in order to perform primarily sedentary work with limited physical exertion and occasional lifting of up to 10 lbs.

-  Must be capable of climbing / descending stairs in an emergency situation.

-  Must be able to operate routine office equipment including computer terminals and keyboards, telephones, copiers, facsimiles, and calculators.

-  Must be able to routinely perform work on computer for an average of 6-8 hours per day, when necessary.

-  Must be able to work extended hours or travel off site whenever required or requested by management.

-  Must be capable of regular, reliable, and timely attendance.

 

Working Conditions

-  Must be able to routinely perform work indoors in climate-controlled shared work area with minimal noise.

Mental and/or Emotional Requirements

·        Must be able to perform job functions independently and work effectively either on own or as part of a team.

·        Must be able to plan and direct the work activities of self and others.

·        Must be able to read and carry out various written instructions and follow oral instructions.

·        Must be able to speak clearly and deliver information in a logical and understandable sequence.

·        Must be capable of dealing calmly and professionally with numerous different personalities from diverse cultures at various levels within and outside of the organization and demonstrate highest levels of member service and discretion when dealing with the public.

·        Must be able to perform responsibilities with composure under the stress of deadlines / requirements for extreme accuracy and quality and/or fast pace.

·        Must be able to effectively handle multiple, simultaneous, and changing priorities.

·        Must be capable of exercising highest level of discretion on both internal and external confidential matters.


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