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Financial Data Analyst (sales & Marketing Analysis) (Only USC | Local to MN)

Data Freelance Hub, Mounds View, Minnesota, United States

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Financial Data Analyst (sales & Marketing Analysis) (Only USC | Local to MN) This role is a Financial Data Analyst for a 12-18 month contract in Mounds View, MN. Requires 6+ years of data analysis experience, proficiency in SQL, and strong sales/marketing analytics background. Power BI experience and DTC business model knowledge are highly desired.

Location: Mounds View, MN

Contract: 12‑18 months (Hybrid, 3 days/week)

Responsibilities

Analyze sales and marketing effectiveness metrics for new product launch initiatives

Conduct account‑level analysis to identify trends, opportunities, and areas for optimization

Evaluate market development strategies and customer acquisition channels

Build and maintain dashboards and reports using Power BI or similar tools

Develop new analytical frameworks and methodologies to measure campaign performance

Collaborate with finance, marketing, and sales teams to define KPIs and success metrics

Present findings and recommendations to leadership

Identify data quality issues and recommend improvements

Qualifications

Bachelor's degree in Data Analytics, Statistics, Business, Finance, or related field

6+ years of experience in data analysis

Strong background in sales and marketing analytics

Experience with account analysis and customer segmentation

Proficiency in SQL and data manipulation

Advanced Excel skills

Demonstrated ability to translate complex data into actionable insights

Strong communication and presentation skills

Self‑starter who can propose and validate new analytical approaches

Highly Desired Qualifications

Experience with Microsoft Power BI or similar BI tools (Tableau, Looker)

Experience supporting new product launches or go‑to‑market initiatives

Prior experience with direct‑to‑consumer (DTC) business models

Knowledge of marketing attribution models and customer lifetime value analysis

Experience with market development and expansion analytics

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