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Mta Analyst Jobs in Indiana (NOW HIRING)

Trust Tech, LLC

MSP Help Desk Technician

Valparaiso, IN · On-site

$20 - $27/hr

Gather, input and analyze data for regular reports distributed to internal and external customers ... Technology Associate (MTA) IT Infrastructure, Microsoft Office Specialist (MOS), Microsoft ...

All JobsMta Analyst JobsMta Analyst Jobs in Indiana

Mta Analyst information

See Indiana salary details

$29.5K

$69.7K

$123.7K

How much do mta analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for mta analyst in Indiana is $69,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,800.00 per year, depending on experience, location, and employer.

What does an MTA analyst do?

An MTA analyst evaluates transportation data, such as ridership, revenue, and operational performance, to support decision-making and improve transit services. They often use data analysis tools like Excel, SQL, or specialized transit software and may prepare reports or recommendations for management. The role requires strong analytical skills and knowledge of transit systems and data management.

Does the MTA pay well?

MTA analysts typically earn competitive salaries that vary based on experience, location, and specific roles. Entry-level positions may start at a moderate pay rate, while experienced analysts with specialized skills can earn higher compensation, often supplemented by benefits and overtime opportunities. Overall, the pay is generally considered fair within the transit and public service sectors.

What are entry level MTA jobs?

Entry-level MTA analyst jobs typically involve supporting transit operations through data analysis, reporting, and system monitoring. These roles often require basic skills in data management, familiarity with transit systems, and sometimes a relevant degree or certification. They provide opportunities for career growth within transportation agencies and may include training on specialized tools and software.

What is the difference between Mta Analyst vs Data Analyst?

AspectMta AnalystData Analyst
Required CredentialsBachelor's degree in transportation, urban planning, or related field; often some industry-specific certificationsBachelor's degree in statistics, computer science, or related field; certifications like CAP or Microsoft Excel expertise
Work EnvironmentPublic transit agencies, government departments, transportation planning officesCorporations, consulting firms, research organizations
Employer & Industry UsagePrimarily in transportation and public transit sectorsAcross various industries including finance, healthcare, marketing

The Mta Analyst and Data Analyst roles share skills in data collection and analysis but differ mainly in industry focus and specific certifications. Mta Analysts typically work within transportation agencies focusing on transit data, while Data Analysts have broader applications across multiple sectors.

Is it difficult to get hired by the MTA?

Getting hired as an MTA analyst can be competitive, as the position often requires relevant experience, a bachelor's degree in a related field, and strong analytical skills. The application process typically involves multiple steps, including assessments and interviews, and candidates with specialized skills or certifications may have an advantage.
What are popular job titles related to Mta Analyst jobs in Indiana? For Mta Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Mta Analyst jobs in Indiana look for? The top searched job categories for Mta Analyst jobs in Indiana are:
Mta Analyst jobs near you
Infographic showing various Mta Analyst job openings in Indiana as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $69,712 per year, or $33.5 per hour.
Marketing Technology Analyst (MarTech)

Marketing Technology Analyst (MarTech)

PadSplit

Brazil, IN

Contractor

Posted 2 days ago

Job description

The Role We Need

PadSplit is hiring a MarTech Analyst to own the measurement infrastructure that powers lifecycle marketing for Member and Host Growth to report into our Director of Performance Marketing. This means full ownership of our Customer Data Platform (Segment), our attribution stack (Rockerbox), and the event taxonomy that connects every marketing dollar and effort to member and host outcomes. You'll also serve as the technical bridge between our lifecycle automation platform (Iterable and Pardot) and Salesforce + analytics layer - ensuring that what we send, and when, is informed by clean, trustworthy data. 

This is an ownership role, not a ticket-taker role. You will sit at the intersection of marketing, data engineering, and product analytics. If you find joy in diagnosing why two dashboards don't agree, building event schemas that scale across mobile and web, and using AI to eliminate the manual work that slows decisions down - this role was designed for you. You cannot only report on what happened, but can also leverage the data to tell the story and what should be done next.

The Person We Are Looking For

The ideal candidate is a technical builder who has lived inside a CDP and come out the other side with strong opinions about how event data should flow. You have hands-on experience with marketing attribution platforms and know how to interrogate channel performance data rather than just report on it. You are fluent in SQL, comfortable in Python, and you've already incorporated AI tools - LLMs, prompt workflows, or automation pipelines - into your day-to-day work.

You thrive with ownership and ambiguity. You work async in English with confidence. You are the person your last team called when the numbers didn't add up, and you liked that call. You understand that measurement infrastructure does not support work - it is the foundation on which every growth decision is made.

Here's What You'll Do Day-To-Day:
  • Own Segment CDP governance: Maintain and evolve the event taxonomy across web, mobile, and server-side sources. Own cross domain and cross identity mapping. Audit data quality, resolve identity resolution issues, and ensure every marketing tool downstream receives clean, reliable data.
  • Own Rockerbox attribution: Serve as the day-to-day owner of our multi-touch attribution platform. Diagnose channel-level performance, investigate attribution anomalies (including consent tool impacts), and build the feedback loops that inform paid media spend decisions.
  • Build and maintain marketing measurement infrastructure: Develop and document the measurement layer for all Member and Host Growth experiments - owning success metrics integrity, building pre/post cohorts, and ensuring statistical validity before results are acted upon acting as a consultative partner to marketing.
  • Support lifecycle automation analytics: Partner with our Marketing Automation team (Iterable) to ensure behavioral triggers, segmentation logic, and campaign performance data are accurate and actionable. Audit automation flows for data integrity.
  • Build AI-augmented marketing analytics workflows: Identify repetitive analysis tasks - weekly reporting, anomaly detection, data quality checks - and replace them with AI-powered pipelines. You will be expected to actively prototype and ship AI workflows, not just evaluate them.
  • Partner across data, product, and paid media: Collaborate with our Data team (Snowflake warehouse), Performance Marketing (Rockerbox, AppsFlyer, Google/Meta), and Product (Segment instrumentation on new features) to ensure the measurement layer scales as the business does.
  • Build and maintain marketing dashboards: Own the marketing measurement layer in Hex and other BI tools. Create dashboards that give the team a single source of truth on CAC, conversion velocity, funnel efficiency, and channel-level attribution.
  • Diagnose attribution and data quality issues: When a metric looks wrong, you investigate and resolve it - not escalate it. You own the answer.
Here's What You'll Need To Be Successful:
  • Segment CDP mastery: Deep, hands-on experience managing a Segment workspace - event schemas, sources, destinations, identity resolution, and data governance. You know what a track call should look like and why it matters.
  • Attribution platform experience: Hands-on experience with Rockerbox, AppsFlyer, or a comparable MTA platform. You understand first-touch vs. last-touch vs. data-driven attribution and know when each is the right lens.
  • Optimizing Cross-Platform Integrations experience: You know how to make systems talk to one another leveraging tools like Zapier or Make to connect marketing, CRMs (Salesforce + ZenDesk), attribution tools and reporting systems. You love good automation. 
  • SQL proficiency (required): You write complex analytical queries independently - CTEs, window functions, cohort logic. Snowflake or BigQuery experience preferred.
  • Python proficiency (strongly preferred): Experience using Python for data manipulation, pipeline scripting, or analysis automation. Pandas, dbt, or similar tooling is a plus.
  • AI/LLM hands-on experience: You have built something with an LLM - a prompt-based workflow, an automated analysis pipeline, an agent-assisted reporting tool, or similar. You approach AI as a productivity multiplier, not a novelty.
  • Lifecycle/ESP/CRM analytics experience: Familiarity with Iterable, Braze, or a comparable lifecycle platform - specifically the analytics and data layer, not just campaign execution. 
  • Marketing analytics fluency: You understand CAC, LTV, conversion rate by funnel stage, channel specific nuances and ROAS. You can move between a data model and a marketing strategy conversation without losing context.
  • English fluency (required): You will work daily with a US-based team. Strong written and spoken English is essential for async collaboration, documentation, and cross-functional alignment.
  • Experiment measurement: Experience designing measurement frameworks for A/B tests - control/treatment cohort construction, metric selection, and results interpretation.
The Interview Process:
  • Your application will be reviewed for possible next steps by the Hiring Manager.
  • If you meet eligibility requirements, the next step would be a phone screen with a member of the PeopleOps team for approximately thirty (30) minutes.
  • If warranted, the next step would be a video interview with the Director of Performance Marketing for forty-five (45) minutes.
  • If warranted, the next step would be a technical assessment and video interview with a small panel of key stakeholders (Data, Performance Marketing, Marketing Automation) for one (1) hour. Candidates will walk through a live data scenario for discussion.
  • If warranted, the final step would be a thirty (30) minute interview with the VP of Member Growth and the President.
  • If warranted, then we move to offer!
$55,000 - $64,000 a year
Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Please note: Although the job posting says it's in Brazil, this is a fully remote position open to anyone in South America. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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