Minneapolis, MN

Data Jobs in Minneapolis, MN

3 jobs found

Include remote jobs

18d ago

Sr Data Analyst - Digital Ecommerce (Math/Stats, A/B testing, ML)

Target Minneapolis, MN

Minneapolis, MN

18d ago

$88k - $190k/yr Full time Senior Analyst Analytics

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Job Description

Target’s Digital Analytics & Insights team is seeking a Senior Data Analyst to guide data-driven decisions across its digital ecommerce landscape. Based in Minneapolis with a hybrid work setup, you will blend statistical rigor, A/B testing, and AI-enabled analytics to optimize online performance and propel growth. The role offers a salary range of USD 88,000 to 190,000 per year and requires a bachelor’s degree with at least three years of experience in a quantitative field.

Responsibilities

Apply cutting-edge analytics platforms, automated data workflows, and formal methodologies to support reporting and performance measurement.
Partner with product, engineering, and other cross-functional teams to identify trends, refine digital strategies, and present actionable recommendations for growth.
Turn data, statistical techniques, and visualization into actionable insights that drive value across multiple business functions.
Develop detailed reports and dashboards across diverse tools, and design visualizations that clearly communicate complex data.
Prepare data models and analyses to identify patterns and opportunities within large, complex datasets.
Hands-on data extraction, transformation, and visualization; manage large datasets, build scalable reports, and simplify data to support swift decision-making.
Collaborate with digital technology and data engineering teams to understand data needs and deliver solutions that ensure data integrity and accuracy.
Maintain data accuracy, consistency, and security across all reports and analyses.
Apply advanced analytics and AI-driven approaches, including predictive modeling and machine learning, to improve decision-making.
Foster positive partner relationships to understand data needs, provide insights, and ensure reporting solutions align with key objectives.

Requirements

Bachelor’s degree or equivalent experience.
Minimum three years of data analytics experience in a business setting with a strong quantitative background.
Proficiency in SQL with the ability to write complex queries, and experience with Python or R.
Hands-on experience with analytics and data tools such as SQL, Hadoop, Hive, Spark, Power BI, and Adobe Analytics or Google Analytics, among similar technologies.
Familiarity with A/B testing methods and time-series forecasting, including statistical analysis.
Ability to create detailed reports and dashboards, and to design visualizations that clearly communicate data trends and opportunities.
Experience applying predictive modeling, machine learning, or AI-enabled tools to inform decisions.
Strong collaboration with cross-functional teams to understand data needs and deliver solutions that ensure data integrity and accuracy.
Excellent communication skills, capable of translating technical concepts to business audiences and vice versa.
Commitment to cultivating positive partner relationships and delivering reporting that addresses key objectives.

Technologies

SQL
Hadoop
Hive
Spark
Power BI
Adobe Analytics
Google Analytics
Python
R

Benefits

Comprehensive health benefits (medical, vision, dental, life insurance)
401(k) plan
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation

Benefits eligibility

Please paste this URL into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

Target complies with state and federal laws to provide reasonable accommodations for applicants with disabilities. If you require a reasonable accommodation to participate in the job application or interview process, please contact candidate.accommodations@HRHelp.Target.com. Non-accommodation-related inquiries, such as application follow-ups or technical issues, should not be directed to this email.

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18d ago

Sr Data Analyst - FP&A Reporting & Analytics

Target Minneapolis, MN

Minneapolis, MN

18d ago

$88k - $158k/yr Full time Senior Analyst Analytics

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Job Description

Target seeks a Senior Data Analyst for FP&A Reporting & Analytics in Minneapolis, MN (hybrid), focused on standardized financial reporting across FP&A and the design, automation, and enhancement of reporting solutions to support scalable analytics.

Responsibilities

Produce standardized, accurate FP&A financial reporting that delivers actionable insights.
Collaborate with finance leaders and business stakeholders to design and automate reporting solutions that enable data driven decisions.
Provide scalable reporting, dashboards, and analytical insights to multiple FP&A functions including Merch Finance, Marketing, Stores, Supply Chain, Corporate Finance, and Capital.

Requirements

Four-year degree or equivalent experience
3+ years as a Data Analyst with strong quantitative coursework or equivalent experience
Advanced SQL experience with complex query writing
Proficiency in Python or R
Knowledge of forecasting models and statistical analysis
Advanced data visualization skills with the ability to build interactive, executive-ready dashboards in Power BI, Looker, Tableau, or similar tools
Strong problem solving, analytical thinking, data curiosity, data mining, data creation, and data consolidation capabilities
Ability to support conclusions with clear storytelling using descriptive statistics, basic inferential statistics, and visualizations
Willingness to ask questions about business objectives and measurement needs, and to define objectives and key results
Excellent communication skills to bridge business and technical teams
Experience with analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

Technologies

SQL
Excel
Hadoop
Hive
Spark
Python
R
Domo
Adobe Analytics
Google Analytics
Power BI
Looker
Tableau

Benefits

Health benefits (medical, vision, dental, life insurance and more)
401(k)
Employee discount
Short-term disability
Long-term disability
Paid sick leave
Paid national holidays
Paid vacation

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

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29d ago

Senior Data Engineer (Azure & Databricks)

Emergent Staffing Minneapolis, MN

Minneapolis, MN

29d ago

Contract Senior Azure Data Factory Azure Databricks

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Job Description

Emergent Staffing is seeking a Senior Data Engineer with Azure Databricks expertise to design, build, and optimize a medallion based data platform and pipelines. This contract role is hybrid in Minneapolis, MN, and spans 6+ months. You will work with Delta Lake, Unity Catalog, and cloud data services to deliver analytics ready datasets in collaboration with analytics teams and business stakeholders.

This position emphasizes a collaborative culture and practical impact, with a focus on scalable architecture, governed data zones, and readiness for AI and machine learning initiatives. You'll automate deployments with Azure DevOps, integrate external data sources via REST APIs and SFTP, and support data factory pipelines, shaping data services used across the organization.

Responsibilities

Design, develop, and optimize data pipelines in Azure Databricks using PySpark and SQL, applying Delta Lake and Unity Catalog best practices.
Build modular, reusable libraries and utilities within Databricks to accelerate development and standardize workflows.
Implement Medallion architecture (Bronze, Silver, Gold) for scalable, governed data zones.
Ingest external data sources via REST APIs, SFTP file delivery, and SQL Server Managed Instance, with validation, logging, and schema enforcement.
Utilize parameter driven jobs and manage compute using Spark clusters and Databricks serverless.
Collaborate with data analytics teams and business stakeholders to understand requirements and deliver analytics ready datasets.
Monitor and troubleshoot Azure Data Factory pipelines (jobs, triggers, activities, data flows) to identify and resolve failures and data issues.
Automate deployments and manage code using Azure DevOps for CI/CD, version control, and environment management.
Contribute to documentation, architectural design, and continuous improvement of data engineering best practices.
Support the design and readiness of the data platform for AI and machine learning initiatives.

Requirements

Strong expertise with Azure Databricks, including PySpark, Delta Lake, Unity Catalog, and the ability to build reusable libraries, utility notebooks, and parameterized jobs.
Advanced SQL skills with experience working in Azure SQL Database and/or SQL Server Managed Instance.
Experience designing, troubleshooting, and supporting data pipelines using Azure Data Factory.
Proven ability to integrate external data sources, including REST APIs and SFTP.
Working knowledge of Azure DevOps for CI/CD, version control, and parameterized deployments.
Demonstrated experience partnering closely with data analytics teams and business stakeholders, supported by strong communication, problem solving, and collaboration skills.
Interest or experience in preparing data platforms to support AI and machine learning initiatives.

Technologies

Azure Databricks
PySpark
Delta Lake
Unity Catalog
SQL
Azure SQL Database
SQL Server Managed Instance
Azure Data Factory
Spark
Azure DevOps
REST APIs
SFTP
Power BI

Our Vetting Process

Application (5 minutes)
Online Assessment (40 minutes)
Initial Phone Interview (30-45 minutes)
Virtual Interview with Hiring team
Onsite Interview
Job Offer

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Data Jobs in Minneapolis, MN

Sr Data Analyst - Digital Ecommerce (Math/Stats, A/B testing, ML)

Sr Data Analyst - FP&A Reporting & Analytics

Senior Data Engineer (Azure & Databricks)

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