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Data Analytics Director Jobs in Crown Point, IN (NOW HIRING)

Data Analytics Specialist

Chicago, IL ยท On-site +1

$130K - $150K/yr

About The Role The Product Data Science team is G2's centralized analytics and data science ... You'll also drive self-service initiatives, giving end users direct access to insights through ...

Summary The Manager, Data Analytics will provide data analytics services to help solve business ... Reports directly to the Director Enterprise Analytics Knowledge, Skills & Abilities Required:

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Data Analytics Director information

See Crown Point, IN salary details

$67.4K

$150K

$232K

How much do data analytics director jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analytics director in Crown Point, IN is $150,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $170,800.00 per year, depending on experience, location, and employer.

What does a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.

What is the difference between Data Analytics Director vs Data Scientist?

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

What are the most commonly searched types of Data Analytics jobs in Crown Point, IN?

The most popular types of Data Analytics jobs in Crown Point, IN are:

What job categories do people searching Data Analytics Director jobs in Crown Point, IN look for?

The top searched job categories for Data Analytics Director jobs in Crown Point, IN are:

What cities near Crown Point, IN are hiring for Data Analytics Director jobs?

Cities near Crown Point, IN with the most Data Analytics Director job openings:

Infographic showing various Data Analytics Director job openings in Crown Point, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $150,027 per year, or $72.1 per hour.

Data Analytics Specialist

G2.com, Inc

Chicago, IL โ€ข On-site, Remote

$130K - $150K/yr

Full-time

Re-posted 23 days ago


Job description

About G2 - The Company
G2 is the world's largest and most trusted software marketplace. When you join G2, you're joining the industry's leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.
Now, we have joined forces with Capterra, SoftwareAdvice, and GetApp to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence.
And we are just getting started! We are setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI.
Does that sound exciting to you? Come join us as we try to reach our next PEAK!
About G2 - Our People
At G2, everything we are and what we do is grounded in our PEAK values- (Performance + Entrepreneurship + Authenticity + Kindness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other's successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.
You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI and philanthropic work (like our G2 Gives program) because it encourages us all to be better people.
About The Role
The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer experience and reviews platform. In this role, you'll partner closely with product stakeholders to develop data-driven strategies that improve the product and deliver measurable outcomes. You'll also drive self-service initiatives, giving end users direct access to insights through dashboards and MCP-powered tooling. Day-to-day, you'll work across a modern data stack including Looker, Snowflake, Amplitude, Python, and R, applying experimentation frameworks and data storytelling techniques to turn complex analysis into clear, actionable recommendations.
In This Role, You Will:
  • Design and build data products that generate actionable insights for both internal stakeholders and external customers
  • Develop and deploy AI agents and MCP-powered tooling to enable self-service access to data across the organization
  • Own and contribute to key OKRs through data-led initiatives, partnering closely with Product Leadership and cross-functional teams
  • Improve data quality, documentation, and governance practices to ensure the data layer is accurate, trusted, and AI-ready
  • Lead exploratory and ad-hoc analyses for product and leadership partners, synthesizing complex data into clear, decision-ready recommendations
  • Build and maintain BI infrastructure in Looker and Amplitude, including dashboards, explores, and self-service reporting layers
  • Act as a data thought partner to product teams, proactively surfacing insights, flagging risks, and shaping strategy through a data lens
Minimum Qualifications:
We realize applying for jobs can feel daunting at times. Even if you don't check all the boxes in the job description, we encourage you to apply anyway.
  • 3-5 years in product analytics, including direct experience defining and owning core product metrics end to end
  • Strong proficiency in SQL
  • Experience with at least one BI tool (Looker, Tableau, Power BI, Sigma, etc.)
  • Experiences working with Python and/or R for analysis and automation in a production environment
  • Familiarity with AI workflows, LLM tooling, or agentic data products
  • Strong written and verbal communication skills, with the ability to translate complex analysis into clear recommendations for non-technical stakeholders
  • Self-motivated and collaborative, with a track record of owning projects end-to-end
What Can Help Your Application Stand Out:
  • Experience with A/B testing or experimentation frameworks preferred
  • Experience contributing to data governance initiatives a plus

Our Commitment to Inclusivity and Diversity
At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here.
For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice before applying to this job.
How We Use AI Technology in Our Hiring Process
G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.
Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way-we will ensure your materials receive a thorough manual review by our hiring team.
For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice.