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Chief Data Analytics Jobs in Indiana (NOW HIRING)

POLYWOOD

VP of Data & Analytics

Syracuse, IN · On-site

Chief Digital Officer The Opportunity POLYWOOD is building something most companies talk about but ... The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people ...

Boden Talent

Account COO

Indianapolis, IN · On-site

Account Chief Operating Officer (COO) Location: Indianapolis, IN (Relocation Assistance Available ... Utilize data, analytics, and industry best practices to support decision-making and innovation.

Centier Bank

Chief Audit Executive

Merrillville, IN · On-site

The Chief Audit Executive (CAE) is responsible for establishing and leading the bank's internal ... Leverage technology and data analytics to enhance audit efficiency and coverage. * Motivate and ...

City of Elkhart

Chief of Police

Elkhart, IN · On-site

Chief of Police DIVISION: Administration STATUS : Full- Time CATEGORY : Salary, "Negotiable" FLSA ... Evaluate departmental performance through data analysis, performance metrics, and outcome-based ...

The City of Elkhart

Chief of Police

Elkhart, IN · On-site

$95K - $128K/yr

Chief of Police DIVISION: Administration STATUS : Full- Time CATEGORY : Salary, "Negotiable" FLSA ... Evaluate departmental performance through data analysis, performance metrics, and outcome-based ...

Aquila Corporation

Survey Chief

Terre Haute, IN

... Survey Chief leads all survey activities that support the planning, design, permitting, and ... Data Analysis & Reporting * Translate raw survey data into engineering-ready deliverables: route ...

Aquila Corporation

Survey Chief

Indianapolis, IN · On-site

... Survey Chief leads all survey activities that support the planning, design, permitting, and ... Data Analysis & Reporting * Translate raw survey data into engineering-ready deliverables: route ...

City of South Bend

Chief Innovation Officer

South Bend, IN · Hybrid

$120K - $130K/yr

Overview Join to apply for the Chief Innovation Officer role at City of South Bend . This range is ... analyzing data, and achieving operational efficiency. Responsibilities * Develop and maintain ...

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Chief Data Analytics information

How much does a chief data analyst make?

A chief data analyst typically earns between $90,000 and $150,000 annually, depending on experience, industry, and location. They often have strong skills in data management, analytics tools, and leadership responsibilities, which can influence salary levels.

What are the key skills and qualifications needed to thrive as a Chief Data Analytics, and why are they important?

To thrive as a Chief Data Analytics, you need advanced expertise in data science, statistical analysis, and business intelligence, often supported by a master's or doctoral degree in a quantitative field. Familiarity with analytics platforms (such as Tableau, Power BI), big data tools (like Hadoop, Spark), and programming languages (Python, R), as well as certifications in data analytics or management, are typically required. Strategic thinking, strong leadership, and effective communication skills are essential to bridge the gap between technical teams and business stakeholders. These competencies are crucial for driving data-driven decision-making, aligning analytics initiatives with organizational goals, and delivering measurable business value.

How does a Chief Data Analytics professional typically collaborate with other departments to drive data-driven decision making?

As a Chief Data Analytics professional, you'll work closely with leaders from departments such as marketing, finance, operations, and IT to identify key business challenges and opportunities where data can provide actionable insights. Regular cross-functional meetings, workshops, and data strategy sessions are common to ensure alignment on goals and data priorities. You'll also guide teams on best practices for data collection, analysis, and interpretation, fostering a culture of data-driven decision making throughout the organization. Building strong relationships and maintaining clear communication with stakeholders is essential to drive successful analytics initiatives and support organizational growth.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Data Science Director, which require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can offer salaries exceeding $150,000 annually, depending on the industry and location.

What does a Chief Data Analytics Officer do?

A Chief Data Analytics Officer (CDAO) is responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision making. They lead teams that collect, analyze, and interpret data to support business goals and drive innovation. The CDAO ensures that data governance, quality, and privacy standards are met, while also promoting a data-centric culture across the company. Their work helps organizations leverage data assets to gain competitive advantage and improve performance.

Is AI replacing data analysts?

Chief Data Analysts and data professionals use AI tools to automate routine tasks and enhance data insights, but AI is not replacing the need for human expertise. Data analysts interpret complex data, develop strategies, and ensure data quality, which requires critical thinking and domain knowledge that AI cannot fully replicate. The role is evolving to include skills in machine learning and data management, making human oversight essential in data-driven decision-making.

What is the difference between Chief Data Analytics vs Data Analyst?

AspectChief Data AnalyticsData Analyst
CredentialsAdvanced degrees (Master's, PhD), certifications in data management and analyticsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership, overseeing analytics teams, executive collaborationData analysis, reporting, and visualization tasks, often under supervision
Employer & Industry UsageUsed in large organizations, tech firms, finance, healthcareCommon across various industries, including retail, marketing, finance

Chief Data Analytics focuses on strategic leadership, managing analytics teams, and aligning data initiatives with business goals. Data Analysts perform hands-on data analysis, reporting, and visualization. Both roles require strong analytical skills, but the Chief Data Analytics role involves higher-level decision-making and leadership responsibilities.

What does a chief data analyst do?

A chief data analyst is responsible for analyzing complex data sets to identify trends, support decision-making, and improve business strategies. They often lead data teams, develop data models, and use tools like SQL, Python, or R to extract insights, ensuring data quality and accuracy. Strong analytical skills and knowledge of data visualization are essential in this role.
What are popular job titles related to Chief Data Analytics jobs in Indiana? For Chief Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Chief Data Analytics jobs in Indiana look for? The top searched job categories for Chief Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Chief Data Analytics jobs? Cities in Indiana with the most Chief Data Analytics job openings:
Chief Data Analytics jobs near you
VP of Data & Analytics

VP of Data & Analytics

POLYWOOD

Syracuse, IN • On-site

Full-time

Posted 18 days ago

Polywood rating

5.2

Company rating: 5.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

39th of 46 rated furniture manufacturers

Job description

Description:

POLYWOOD | Hybrid / Remote | Reports To: Chief Digital Officer

The Opportunity

POLYWOOD is building something most companies talk about but few actually achieve: a data organization that doesn't just report on the business but shapes it. We're evolving from outdoor furniture to outdoor living, and the decisions that drive that shift need to be grounded in real consumer insight, commercial intelligence, and operational clarity.

This is the role that makes that happen.

The Role

The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people, platforms, and practices that turn raw data into business advantage. You'll own the enterprise data platform, lead a team of data and analytics engineers, and manage embedded analysts across the organization who sit close to the business units they serve.

Critically, this role isn't just internal infrastructure. You'll be a key partner to Marketing, Advertising, and Commercial leadership, ensuring that data drives smarter decisions across the consumer journey, from acquisition to retention to repurchase.

You'll lead the organization through two direct reports:

  • Director of Data Engineering who builds and maintains the data platform and pipelines
  • Embedded Analysts across business units who translate data into action at the point of need
What You'll OwnData Strategy and Platform Leadership
  • Define and evolve POLYWOOD's enterprise data strategy, from ingestion to insight
  • Own the Databricks lakehouse environment and ensure it's structured, governed, and built for scale
  • Set the architectural standards, modeling conventions, and data quality frameworks that the whole organization relies on
  • Stay technically credible: you understand medallion architecture, transformation pipelines, and data modeling well enough to lead a Director of Data Engineering and make sound platform decisions
Analytics and Organizational Leadership
  • Lead and develop a team of data engineers, analytics engineers, and embedded business analysts
  • Ensure embedded analysts are well-connected to both their business units and to the central data org, so insights are consistent, reliable, and actually used
  • Build a culture of curiosity, rigor, and practical impact across the team
  • Partner with HR and business unit leaders to grow the analyst function as the company scales
Commercial and Marketing Partnership
  • Serve as the primary data partner to Marketing, Advertising, and Commercial leadership
  • Ensure consumer and marketing data pipelines, including Shopify, GA4, Google Ads, and Meta, are structured to support attribution, performance measurement, and audience intelligence
  • Connect data to commercial decisions: pricing, assortment, promotions, and customer lifecycle
  • Help define the KPIs and measurement frameworks that align creative, media, and business teams around shared outcomes
Governance and Data Quality
  • Establish and enforce data governance standards, access controls, and metric definitions across the organization
  • Ensure finance and operations are working from the same numbers
  • Reduce reliance on manual reporting and ad hoc data pulls by building reliable, self-serve business-ready models
What We're Looking For
  • Technical Leader who is credible with engineers and can make sound architectural decisions, not just manage up
  • Organizational Builder who knows how to structure a data org, develop talent, and connect embedded analysts to a central platform
  • Commercial Partner who understands how data connects to marketing performance, consumer behavior, and business outcomes
  • Clear Communicator who can translate technical complexity into business decisions at the executive level
Qualifications
  • 12+ years in data engineering, analytics, or data leadership roles
  • Significant experience leading multi-disciplinary data organizations including engineers and analysts
  • Expert-level knowledge of Databricks and modern lakehouse architecture
  • Strong SQL and Python fluency; ability to review and guide technical work
  • Experience integrating D2C and marketing data sources (Shopify, GA4, paid media platforms)
  • Proven ability to connect data strategy to measurable business outcomes
  • Experience in consumer products, retail, or D2C environments preferred
Why POLYWOOD

You'll be building the data foundation for a category-defining brand at a moment of real strategic ambition. The platform is in place. The business appetite is there. This is a chance to build something that actually matters.

Requirements:What We're Looking For
  • Technical Leader who is credible with engineers and can make sound architectural decisions, not just manage up
  • Organizational Builder who knows how to structure a data org, develop talent, and connect embedded analysts to a central platform
  • Commercial Partner who understands how data connects to marketing performance, consumer behavior, and business outcomes
  • Clear Communicator who can translate technical complexity into business decisions at the executive level
Qualifications
  • 12+ years in data engineering, analytics, or data leadership roles
  • Significant experience leading multi-disciplinary data organizations including engineers and analysts
  • Expert-level knowledge of Databricks and modern lakehouse architecture
  • Strong SQL and Python fluency; ability to review and guide technical work
  • Experience integrating D2C and marketing data sources (Shopify, GA4, paid media platforms)
  • Proven ability to connect data strategy to measurable business outcomes
  • Experience in consumer products, retail, or D2C environments preferred

What Polywood employees say

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