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Data Management Analyst (MN)

Hybrid in Minneapolis, MN, US • Posted 6 hours ago • Updated 5 hours ago

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Hybrid

Depends on Experience

Dahl Consulting

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Summary

Title: Data Management Analyst
Location: Minneapolis, MN
Job Type: Contract (12 Months)
Compensation: $63.91 - $82.70/hr
Industry: Retail

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About the Role
Our client, a leading enterprise retailer with a large and complex technology and data environment, is seeking a Data Management Analyst to support a major finance application modernization and data platform migration initiative.
In this role, you will focus on data validation, reconciliation, analysis, and reporting as finance data transitions from legacy mainframe applications to a modern Google Cloud Platform (GCP)-based data environment. You will work across engineering, product, finance, and business teams to identify data variances, investigate root causes, and document findings that support critical go-live decisions.
The ideal candidate brings strong hands-on experience with SQL, big data platforms, ETL/data pipelines, Python or PySpark, and data visualization tools. This role requires someone who can independently investigate complex data issues, clearly explain their approach, and collaborate effectively with both technical and business stakeholders.

Job Description
As a Data Management Analyst, you will play a key role in validating data accuracy and consistency between legacy finance systems and the client's modern cloud-based data platform. You will develop queries, datasets, reports, and dashboards that identify variances between systems during modernization and parallel operations. You will then partner with product managers, engineers, finance teams, and business stakeholders to investigate those differences, determine root causes, and document known variances.
Success in this position requires more than high-level familiarity with data technologies. You should be comfortable working directly with large datasets, navigating ambiguous problems independently, explaining the reasoning behind your technical decisions, and asking thoughtful questions to establish a clear understanding of business and technical requirements.
Key responsibilities include:

Develop SQL queries and datasets to validate data between legacy and modern applications and identify data variances.
Perform source-to-target comparisons, data reconciliation, duplicate detection, error and reject validation, and audit/control total validation.
Validate business rules, transformation logic, mappings, data lineage, and data quality requirements.
Analyze data variances and collaborate with product managers, engineers, finance teams, business stakeholders, and legacy system teams to determine root causes.
Develop reports and dashboards using data visualization tools to illustrate data variances, trends, and reconciliation results.
Build data variance trend dashboards to support stakeholders in establishing tolerance thresholds and making go-live decisions.
Create reconciliation reports, validation summaries, exception reports, defect logs, and business sign-off documentation.
Document known data variances, their identified root causes, and applicable resolutions or explanations.
Support data validation activities during parallel operation of legacy and modern finance applications.
Participate in Agile delivery activities, including sprint ceremonies, defect triage, user story review, and iterative delivery.
Communicate findings clearly to both technical and non-technical stakeholders.
Work independently through complex or unclear data problems while seeking clarification and collaborating with stakeholders as appropriate.

Qualifications
Required Qualifications:

5+ years of professional experience in a data analytics or data management role.
5+ years of hands-on SQL experience working with large-scale databases or big data platforms such as Google BigQuery, Hadoop, or comparable technologies.
3+ years of experience with ETL and data pipeline tools, such as Airflow, Informatica, dbt, or similar technologies.
3+ years of experience working within an Agile team environment.
Hands-on experience with Python and/or PySpark for data processing, movement, and analysis.
Experience with data visualization and reporting tools such as Power BI, Looker, and LookML.
Demonstrated experience developing dashboards, performing KPI reconciliation, validating semantic layers, and conducting data analysis.
Strong experience with data validation, source-to-target reconciliation, variance detection, duplicate detection, reject/error validation, and audit/control total validation.
Experience validating data against defined business rules and transformation logic.
Ability to analyze mapping documents, reporting requirements, data transformation logic, data lineage, and data quality rules.
Experience creating reconciliation reports, validation summaries, exception reports, defect logs, and business sign-off documentation.
Strong analytical and problem-solving skills with the ability to independently investigate complex or ambiguous data issues.
Strong communication and collaboration skills with the ability to work across engineering, product, finance, business, and legacy system teams.
Ability to clearly explain technical approaches, findings, considerations, and decision-making processes.

Preferred Qualifications:

Previous experience working within the retail industry, particularly with large-scale enterprise data.
Experience working with data related to finance, supply chain, merchandising, inventory, stores, sales, digital, product, or customer domains.
Experience with Google Cloud Platform (GCP) data environments, including Data Lake or Lakehouse architectures.
Familiarity with SAP S/4HANA data structures.
Finance-domain reporting or dashboard development experience.
Experience working in Agile delivery environments using user stories, acceptance criteria, sprint ceremonies, defect triage, and iterative delivery.

Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.

How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!

Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10109792
Position Id: 29999
Posted 6 hours ago

Company Info

About Dahl Consulting

Since 1993, Dahl Consulting has been a leader in providing and implementing adaptive staffing and workforce solutions for its clients. DAHL specializes in workforce process management, vendor management services, as well as sourcing and staffing services. Their workforce solutions and programs ensure clients have the right people, the right process, and the right relationships, all at the right cost. DAHL s size and service offerings enable them the flexibility to provide simple and affordable solutions adaptable to any enterprise s current program, as well as future growth. Visit www.dahlconsulting.com for more information.

The mission of Dahl Consulting is to assist businesses with the creation, delivery, and support of new and existing systems to improve their level of performance through one or a combination of our service offerings. Our core competency is managing the process of procuring contract and temporary labor by finding creative ways to maximize the efficiency and effectiveness of the customer's contingent labor program.

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Title: Data Management Analyst Location: Remote Job Type: Contract (12 Months) Compensation: $63.91 - $82.70/hr Industry: Retail About the Role Our client, a leading enterprise retailer with a large and complex technology and data environment, is seeking a Data Management Analyst to support a major finance application modernization and data platform migration initiative. In this role, you will focus on data validation, reconciliation, analysis, and reporting as finance data transitions from le

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