Consultant, Data Analytics & Reporting-Food

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

Not verified

Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Consultant, Data Analytics & Reporting-Food State/Province1 | Job Posting Country IN India | State/Province Karnataka | Job Posting City Bangalore | City Zip Code 560087 Job Purpose and Impact The Analytics Engineer will prepare business relevant information and reduce time to insight by leading technical activities that enable information capture, business intelligence and analytics competency. In this role, you will ensure teams have the data needed to make timely, accurate and actionable insights by investing in the core capabilities of data management, data engineering and key decision support applications that consume data. You will be a key partner between business needs and data engineering and will deliver the final information product including the dashboards that enable business value. Key Accountabilities Design and implement internal process improvements, optimize data delivery and create scalable data sets. Build existing data assets and prepare data to meet specific reporting and analytics needs. Build data solutions to enable automated and self service data consumption. Model, design, develop, test and implement complex backend and front end structures to meet business visualization, reporting and analytics requirements. Evaluate the performance of processes, services and outcomes and recommend performance improvement. Partner collaboratively with data engineers on complex infrastructure projects and advocate for and emphasize the business value of applications and offer mentorship and technical solutions to solve business problems. Independently handle complex issues with minimal supervision, while escalating only the most com

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