Commercial Analytics Engineer

Confidential Jobs; Michigan City (IN); On-site; USD 50,000 - 70,000; Full time

Benefits offered by this job

Tuition assistance

401(k)

Vision insurance

Medical insurance

Job summary

A leading analytics firm is seeking an entry-level analyst to assist in developing and executing analytics projects. The role involves using tools like SQL and Tableau to explore datasets, communicate insights, and improve processes. Ideal candidates have a Bachelor’s degree in Engineering and some familiarity with data analytics tools. Benefits include tuition assistance and 401(k).

Qualifications

• 0-2 years’ experience in Engineering, analytics, or data science.
• Exposure to industries like industrial controls or process controls is a plus.
• Familiarity with AI tools or machine learning concepts is advantageous.

Responsibilities

• Assist in developing analytics projects supporting business goals.
• Use analysis tools and AI to explore large datasets.
• Present findings in clear formats to team members.

Skills

Data analysis

Communication skills

Problem-solving

Attention to detail

Education

Bachelor’s degree in Engineering or related field

Tools

SQL

Python

Tableau

Power BI

Salesforce

Job description

Responsibilities

• Assist in developing and carrying out analytics projects to support business goals, such as sales forecasting, market segmentation, and customer insights.
• Research industry trends, economic indicators, and market activities to help identify opportunities for the company.
• Learn how to track and measure key performance indicators (KPIs) that show how the business is performing.

Data Analysis & Insights

• Use data analysis and visualization tools (e.g., Tableau, Power BI) along with AI-based tools (e.g., ChatGPT, Grok) to explore large datasets from sources like Salesforce, Dynamics, and market research platforms.
• Help maintain and improve predictive models to forecast sales trends and customer behavior.
• Present findings to team members in clear, easy-to-understand formats.
• Work closely with sales, marketing, and product teams to help improve campaigns, pricing strategies, and customer retention efforts.
• Support the Finance team by providing analytics that align with budgeting and revenue planning.
• Collaborate with IT and data teams to keep analytics tools accurate, reliable, and easy to use.
• Assist in creating dashboards, reports, and visualizations that track business performance.
• Help ensure reports are accurate, up to date, and delivered on time to the right people.

Process Improvement & Development

• Look for opportunities to make processes faster and more efficient using automation, AI, and better data integration.
• Stay informed on the latest analytics tools and industry best practices to help the team improve.

Education

• Bachelor’s degree in Engineering (or related field).

Experience

• 0–2 years’ experience in Engineering, analytics, business intelligence, or data science (internships, academic projects, or relevant coursework welcome).
• Exposure to industries like industrial controls, electrical/electronic distribution, process controls, or industrial technology is a plus.

Technical Skills

• Basic knowledge of analytics tools (e.g., SQL, Python, or SAS) and data visualization platforms (e.g., Tableau, Power BI).
• Understanding of CRM systems (e.g., Salesforce, Dynamics).
• Familiarity with AI tools, machine learning concepts, or big data frameworks is an advantage.

Soft Skills

• Strong communication skills to explain insights to non-technical audiences.
• Problem-solving mindset and attention to detail.
• Willingness to learn and adapt in a fast-changing environment.
• Ability to work well in a team and build positive working relationships.

Preferred Qualifications

• Experience with statistical modeling or AI-driven analytics.
• Knowledge of market research methods or competitive analysis.
• Awareness of data privacy regulations (e.g., GDPR, CCPA).

Benefits

• Tuition assistance
• 401(k)
• Vision insurance
• Medical insurance

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Analyst, Consulting, and Sales

Industries

• Manufacturing
• Climate Data and Analytics
• Commercial and Service Industry Machinery Manufacturing