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Digital Analytics Developer Jobs in Indiana (NOW HIRING)

Allied Solutions LLC

Digital Analytics Lead

Carmel, IN · On-site

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over ... Partner hands-on with Engineering to implement analytics instrumentation when application code ...

Allied Solutions LLC

Digital Analytics Lead

Carmel, IN · On-site

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over ... Partner hands-on with Engineering to implement analytics instrumentation when application code ...

Ra

Marketing Analytics Manager

Indianapolis, IN · On-site

You will be using quantitative methods to assess the impact of offline and digital marketing. You ... Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing ...

Amentum

Digital Component Engineer

Crane, IN · On-site

$120K - $190K/yr

Understand electrical test methods and techniques, radiations effects, failure analysis tools and ... Digital Component Engineering experience with a focus on quality and reliability standards and ...

Pae

Digital Component Engineer

Crane, IN · Hybrid

$120K - $190K/yr

Understand electrical test methods and techniques, radiations effects, failure analysis tools and ... Digital Component Engineering experience with a focus on quality and reliability standards and ...

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Digital Analytics Developer information

What is a digital analytics developer?

A Digital Analytics Developer is a professional who implements, manages, and optimizes analytics solutions on digital platforms, such as websites and mobile apps. They work with tools like Google Analytics, Adobe Analytics, and tag management systems to collect and analyze user data. Their role involves creating and maintaining tracking codes, ensuring accurate data capture, and providing insights that support business decisions. Digital Analytics Developers often collaborate with marketing, design, and engineering teams to improve digital performance and user experience.

What are the key skills and qualifications needed to thrive as a digital analytics developer?

To thrive as a Digital Analytics Developer, you need a strong background in web development, JavaScript, data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Google Analytics, Adobe Analytics, Tag Management Systems (e.g., Google Tag Manager), and data visualization platforms is crucial. Attention to detail, problem-solving abilities, and effective communication set high performers apart in this role. These skills and qualities are essential for ensuring accurate data collection, insightful analysis, and clear reporting that drive data-driven decision-making for organizations.

How does a digital analytics developer typically collaborate with marketing and IT teams?

Digital Analytics Developers often act as a bridge between marketing and IT teams, ensuring that web analytics tools are properly implemented and data is accurately captured across digital platforms. They work closely with marketers to understand campaign goals and reporting needs, translating those requirements into technical specifications. At the same time, they coordinate with IT or web development teams to integrate tracking codes, troubleshoot data discrepancies, and maintain data integrity. Strong communication skills and a collaborative mindset are essential, as this role frequently involves explaining technical concepts to non-technical stakeholders.

What is the difference between Digital Analytics Developer vs Data Analyst?

AspectDigital Analytics DeveloperData Analyst
Required CredentialsBachelor's in Computer Science, Analytics, or related field; knowledge of analytics tools and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelops and implements analytics solutions, often within marketing or IT teamsAnalyzes data sets to generate insights, typically across various departments
Employer & Industry UsageUsed in digital marketing, e-commerce, and tech companies for tracking user behaviorCommon across finance, healthcare, and business sectors for decision support

While both roles involve working with data, a Digital Analytics Developer primarily focuses on creating and maintaining analytics tools and tracking systems, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap but serve different functions within data-driven organizations.

What are popular job titles related to Digital Analytics Developer jobs in Indiana?

For Digital Analytics Developer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Digital Analytics Developer jobs in Indiana look for?

The top searched job categories for Digital Analytics Developer jobs in Indiana are:

What cities in Indiana are hiring for Digital Analytics Developer jobs?

Cities in Indiana with the most Digital Analytics Developer job openings:

Digital Analytics Developer jobs near you

Digital Analytics Lead

Carmel, IN • On-site

Allied Solutions LLC
Finance and Insurance • 1 - 5K employees

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

184th of 311 rated insurance

People enjoy working here

Good employer

Paid breaks

Learn more about Allied Solutions LLCexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over the long term. This role defines the standards, frameworks, and governance that ensure user behavior is measured and reported consistently, accurately, and at scale across products and platforms.
This role serves as the organization's subject matter expert in digital and behavioral analytics and is responsible for establishing and maturing this capability in close partnership with Data Engineering, Data Governance, and Business Intelligence teams. Serving as a lead-level individual contributor, the Digital Analytics Lead partners closely with UX, Product, Engineering, and Strategic Leadership to translate behavioral data into actionable insight aligned to inform software product decisions and achieve business outcomes.
Job Duties and Responsibilities:
Define and Govern Data Measurement Strategy - 25%
  • Define and evolve behavioral measurement frameworks aligned to product, UX, and business goals.
  • Establish priorities and maturity roadmaps for behavioral and digital analytics across platforms and initiatives.
  • Define and govern behavioral metrics that reflect software utility, usability, user success, and outcomes.
  • Consult with cross-functional teams to recommend appropriate analytics tools, metrics, and reporting approaches, advising on measurement strategies based on efficiency, implementation effort, data availability, and insight value.
  • Evaluate, pilot, and apply analytics tools and platforms to support measurement goals, usability, data quality, and decision impact.
  • Make hands-on recommendations informed by direct use of analytics tools and data, not abstract evaluation alone.
  • Serve as a trusted advisor to UX, Product, Engineering, and Business leadership on behavioral metrics interpretation and appropriate tool usage.
  • Act as the central steward for disciplined, consistent, and decision focused measurement practices.

Digital Analytics Implementation and Data Quality - 25%
  • Directly design, implement, and maintain event taxonomies, tagging strategies, naming conventions, and implementation standards.
  • Partner hands-on with Engineering to implement analytics instrumentation when application code changes are required.
  • Personally configure, test, validate, and audit analytics platforms (e.g., GA4, GTM, behavioral analytics tools).
  • Identify and remediate tracking gaps, data inconsistencies, and implementation issues.
  • Establish and run processes for ongoing behavioral data quality monitoring and validation.
  • Ensure analytics implementations remain scalable, reliable, and production ready over time.

Enterprise Data Integration & Collaboration - 20%
  • Work hands-on with Data Engineering, Data Governance, and Business Intelligence teams to ensure behavioral data is structured, integrated, and usable across enterprise systems.
  • Define and validate behavioral data requirements for ingestion into enterprise data platforms (e.g., data warehouses and BI tools).
  • Contribute directly to event schemas, data models, and patterns that connect behavioral data across platforms, sessions, and journeys.
  • Ensure behavioral analytics implementations align with enterprise data architecture and downstream analytics needs.
  • Serve as an active cross-functional bridge between UX, Product, Engineering, and Data teams.

Data Analysis, Insight, & Reporting - 15%
  • Hands-on analysis of behavioral data to generate actionable insights that inform product, UX, and business decisions.
  • Design, build, and maintain dashboards and performance views that surface meaningful behavioral patterns.
  • Use query based analysis, automation, and AI assisted techniques to explore data, validate metrics, and accelerate insight generation.
  • Execute behavioral segmentation based on intent, journey stage, and interaction patterns.
  • Synthesize and connect insights across products and user journeys to support enterprise level decision making and prioritization.

Documentation, Mentorship & Analytics Enablement - 15%
  • Establish and maintain analytics standards, governance frameworks, and implementation guardrails.
  • Document metric definitions, instrumentation patterns, dashboard logic, and reporting conventions to ensure clarity and consistency.
  • Develop playbooks, templates, and educational materials informed by real implementation and analysis experience.
  • Provide hands-on peer mentorship, coaching, and collaborative working sessions with UX, Product, Engineering, and Analytics partners.
  • Partner directly with teams to ensure reports, dashboards, and metrics are understandable, usable, and decision ready - not just technically correct.
  • Facilitate shared interpretation and sense-making of analytics outputs through working sessions, reviews, and applied guidance.
  • Enable teams to responsibly engage with analytics while maintaining centralized stewardship, data quality, and analytical rigor.
  • Support analytics maturity through education, feedback, and shared learning - without formal people management responsibility.
  • Balance immediate business needs with long-term data integrity, scalability, and sustainability.

Qualifications (Education, Experience, Certifications & KSA):
  • Bachelor's degree in Analytics, Data Science, Human Computer Interaction, Psychology, Information Systems, Business, or a related field, or an equivalent combination of education and practical experience.
  • Master's degree preferred.
  • 5+ years relevant experience in behavioral, digital, or product analytics within complex digital or software environments.
  • Significant experience in behavioral or web analytics supporting decision making across products or platforms.
  • Demonstrated experience owning or leading analytics strategy, measurement frameworks, or implementation standards across multiple products or teams.
  • Handson experience with event based analytics and instrumentation, including defining event models, taxonomies, and data quality practices.
  • Working experience using query languages (e.g., SQL or similar) to explore, validate, and analyze behavioral data across analytics platforms and/or enterprise data stores.
  • Proven ability to analyze behavioral data and translate findings into clear, actionable insights that inform product, UX, and business decisions.
  • Strong understanding of data modeling concepts related to digital analytics (e.g., event schemas, sessionization, dimensional thinking).
  • Experience working with or alongside cloud data warehouse environments (e.g., Snowflake) and understanding how behavioral data is structured for analysis.
  • Experience collaborating with Data Engineering and/or Business Intelligence teams to translate behavioral tracking into usable datasets and reporting.
  • Understanding of data privacy, consent management, and responsible handling of behavioral data in regulated or enterprise environments.
  • Strong communication and collaboration skills, with the ability to explain analytical and technical concepts to cross functional partners.
  • Experience partnering closely with UX, Product, Engineering, and Business stakeholders to align measurement with outcomes.

Preferred Qualifications
  • Experience using automation and AI assisted analysis techniques to support exploratory analysis, pattern detection, anomaly identification, or insight generation, with sound judgment around appropriate and responsible use.
  • Experience working within UX, product, or digital experience organizations.
  • Experience with modern behavioral and web analytics platforms (e.g., Google Analytics 4, Google Tag Manager, Microsoft Clarity, or similar event based tools).
  • Experience designing, building, and stewarding dashboards or reporting frameworks, including metric definitions, documentation, and ongoing maintenance.
  • Familiarity with experimentation, optimization, or iterative measurement approaches.
  • Experience designing or supporting experimentation frameworks (e.g., A/B testing, feature validation, behavioral impact measurement).
  • Experience enabling, coaching, or mentoring others in analytics practices without formal people management responsibility.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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