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Analytics Assistant Jobs in Indiana (NOW HIRING)

Verawholehealth

$63K - $111K/yr

Continuous Improvement: Assist in the potential migration or implementation of Looker for self-service analytics. Required Qualifications: * 2-4 years of experience in data analytics or business ...

New

Apex Water + Process Inc.

Lab Analyst

Westfield, IN

$21 - $24/hr

Perform corrosion coupon and deposit analyses * Assist with reagent inventory management * Provide laboratory support such as daily calibration of balances, maintain instrument use manuals, and ...

Norsk Hydro

Financial Analyst

Elkhart, IN · On-site

Support in month end closing. * Assist and support analyzing actual profits and losses vs. the budget on a monthly basis. * Assist and support conducting cost studies on various item numbers or ...

Apex Water and Process

Lab Analyst

Westfield, IN · On-site

$21 - $24/hr

Perform corrosion coupon and deposit analyses * Assist with reagent inventory management * Provide laboratory support such as daily calibration of balances, maintain instrument use manuals, and ...

Martin Marietta

Sr. FP&A Analyst

Indianapolis, IN · On-site

$81K - $101K/yr

Build scalable, standardized models and analysis. * Assist in administration of the recurring forecasting and planning process. * Perform ad hoc analysis, reporting, and dashboarding for Division ...

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Analytics Assistant information

What are Analytics Assistants?

Analytics Assistants are professionals who support data analysis tasks within a company or organization. They help collect, organize, and process data, create reports, and assist senior analysts in interpreting information to guide business decisions. Their responsibilities often include using data management tools, preparing presentations, and ensuring data accuracy. Analytics Assistants play a vital role in transforming raw data into actionable insights. This entry-level position is ideal for those looking to start a career in data analytics.

What are the typical daily responsibilities of an Analytics Assistant and how do they contribute to team projects?

As an Analytics Assistant, your day-to-day tasks often include gathering and cleaning data, creating basic reports, and supporting more senior analysts with research and data visualization. You play a key role in ensuring data accuracy and timely delivery of insights, which helps the team make informed decisions. Collaboration with team members, such as analysts and project managers, is common, especially when preparing presentations or addressing urgent data requests. This role provides a strong foundation in analytics tools and processes, making it ideal for those aiming to advance in data-driven careers.

What does an assistant analyst do?

An assistant analyst supports data analysis tasks by collecting, organizing, and preparing data for review. They often use tools like Excel or statistical software, assist in generating reports, and help interpret data insights under the supervision of senior analysts.

What jobs make $1,000,000 a year?

In the field of analytics, high-paying roles such as Chief Data Officer, Data Science Director, or senior executive positions in large corporations can reach or exceed $1,000,000 annually, especially with bonuses and stock options. These roles typically require extensive experience, advanced skills in data management and analytics tools, and often involve leadership responsibilities. Most roles at this level are found in large organizations or consulting firms with significant revenue and data assets.

What is the difference between Analytics Assistant vs Data Analyst?

AspectAnalytics AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields, often with certifications
Work EnvironmentSupportive, entry-level roles in offices or remote settingsAnalytical, project-focused roles in various industries
Employer & Industry UsageCommon in marketing, finance, and tech companiesWidely used across industries for data-driven decision making
Search & Comparison IntentUnderstanding entry-level data support rolesAnalyzing differences in data-related job responsibilities

The main difference between an Analytics Assistant and a Data Analyst lies in their experience level, responsibilities, and qualifications. Analytics Assistants typically support data teams with basic tasks and require less advanced education, while Data Analysts handle more complex analysis and decision-making processes. Both roles are essential in data-driven organizations, but they differ in scope and expertise.

Can I be a data analyst with no experience?

Yes, entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a strong understanding of basic statistical concepts. Gaining certifications or completing online courses can also improve your chances of starting in this role.

What are the key skills and qualifications needed to thrive as an Analytics Assistant, and why are they important?

To thrive as an Analytics Assistant, you need a solid understanding of data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data visualization software (like Tableau or Power BI), SQL, and Microsoft Excel are typically required, and knowledge of programming languages like Python or R is beneficial. Attention to detail, analytical thinking, and strong communication skills help you interpret data accurately and convey insights effectively to stakeholders. These abilities are crucial for supporting data-driven decision-making and ensuring the accuracy and clarity of analytical reports.

Is 40 too late for data science?

For an Analytics Assistant or similar data-related roles, starting a career in data science at age 40 is possible. Many professionals transition into data science later in life by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications. Age is less important than skills, experience, and continuous learning in the field.
What are the most commonly searched types of Analytics jobs in Indiana? The most popular types of Analytics jobs in Indiana are:
What are popular job titles related to Analytics Assistant jobs in Indiana? For Analytics Assistant jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Analytics Assistant jobs in Indiana look for? The top searched job categories for Analytics Assistant jobs in Indiana are:
What cities in Indiana are hiring for Analytics Assistant jobs? Cities in Indiana with the most Analytics Assistant job openings:
Analytics Assistant jobs near you
Infographic showing various Analytics Assistant job openings in Indiana as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Analyst II, Analytics

Verawholehealth

Remote

$63K - $111K/yr

Full-time

Posted 5 days ago

New

Job description

Job Description Summary

We are looking for a data-driven Analyst II, Analytics to join our team. In this role, you will bridge the gap between raw data and business strategy by developing automated dashboards, performing deep-dive analyses, and communicating actionable insights to stakeholders. This is a remote-friendly position suited for a mid-level professional with strong SQL skills and a passion for storytelling through data.

How will you make an impact & Requirements

Role Overview: The Analyst II, Analytics will support our data initiatives by ensuring data integrity and delivering high-impact visualizations. You will work within the Google Cloud Platform ecosystem to transform complex datasets into clear, executive-level insights.

Key Responsibilities:

  • Data Analysis & Modeling: Write and optimize complex SQL queries in BigQuery to extract, clean, and model data for reporting.

  • Visualization: Design, build, and maintain high-performance automated dashboards in Tableau.

  • Pipeline Monitoring: Interface with Airflow to monitor data workflows and ensure reporting accuracy and freshness.

  • Stakeholder Collaboration: Partner with business leaders to define KPIs and present findings that drive departmental strategy.

  • Continuous Improvement: Assist in the potential migration or implementation of Looker for self-service analytics.

Required Qualifications:

  • 2-4 years of experience in data analytics or business intelligence.

  • Advanced proficiency in SQL (ETL logic, window functions, and performance tuning).

  • Hands-on experience building production-level dashboards in Tableau.

  • Experience working within GCP (BigQuery) or a similar cloud data warehouse.

Preferred Qualifications:

  • Familiarity with Looker (LookML) or other modern BI modeling layers.

  • Basic understanding of Airflow for scheduling and monitoring data pipelines.

  • Experience with Python for data manipulation or automation.

Compensation:

$63,982.00

to

$111,125.00

Apply