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Director Microsoft Data Analyst Jobs (NOW HIRING)

Microsoft

Senior Data Analyst

Redmond, WA · On-site

$137K - $222K/yr

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... Advanced data analytics skills - deep exploratory data analysis, metric and KPI definition ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint ... direct your inquiries to our Talent Team at Recruiting@pantheon -data.com or by phone (571) 363 ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint ... process, please direct your inquiries to our Talent Team at or by phone (571) 363-4020. This ...

Quantix

Data Analyst

Phoenix, AZ · On-site

Direct Hire Company located in Phoenix, AZ has an immediate need for a Senior Data Analyst for a ... SQL Server, MCSE Data Platform, MCSE. 2) Advanced knowledge of Microsoft office toolset (Word ...

UNAVAILABLE

Sales Director - Microsoft

Manhattan, NY · On-site

$180 - $240/hr

Our 20,000+ professionals in 70 offices worldwide combine experience across technology, data ... Role Overview As a Director of Business Development, you will operate as a senior individual ...

Quantix

Data Analyst

Phoenix, AZ · On-site

Direct Hire Company located in Phoenix, AZ has an immediate need for a Senior Data Analyst for a ... SQL Server, MCSE Data Platform, MCSE. 2) Advanced knowledge of Microsoft office toolset (Word ...

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site +1

... Power BI, R, SQL, Microsoft Office, Python, and others. Data Extraction and Utilization ... Promote a team atmosphere by treating individuals with respect and honesty and by using direct ...

Sonsoft Inc

Microsoft Data Architect

San Francisco, CA

$75 - $96.50/hr

Analytical skills * Experience and desire to work in a management consulting environment that requires regular travel * The job entails an extensive amount of travel. The job also entails sitting as ...

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Director Microsoft Data Analyst information

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How much do director microsoft data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for director microsoft data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Microsoft Data Analyst vs Data Analyst?

AspectDirector Microsoft Data AnalystData Analyst
Required CredentialsBachelor's or higher in Data Science, Business, or related; often with certifications like Microsoft Certified Data Analyst AssociateBachelor's in related field; certifications like Microsoft Certified Data Analyst Associate are common but not mandatory
Work EnvironmentLeadership role overseeing teams, strategic planning, and project management within organizations using Microsoft toolsAnalyzing data, creating reports, and supporting decision-making primarily at individual contributor level
Employer & Industry UsageUsed in corporate, enterprise, and tech industries with a focus on data-driven decision-makingCommon across various industries including finance, healthcare, retail, and tech for data analysis tasks

The main difference between a Director Microsoft Data Analyst and a Data Analyst lies in their scope and responsibilities. The director oversees teams and strategic initiatives, while the data analyst focuses on data analysis and reporting. Both roles require similar certifications and work within data-driven environments, but the director's role is more leadership-oriented.

What does a director of Microsoft data analyst do?

A director of Microsoft data analyst oversees data analysis teams responsible for collecting, interpreting, and presenting data insights to support business decisions. They manage data projects, develop strategies for data use, and ensure the team utilizes tools like Power BI and SQL effectively, often requiring leadership skills and industry certifications. Their role involves coordinating with other departments to align data initiatives with organizational goals.
What cities are hiring for Director Microsoft Data Analyst jobs? Cities with the most Director Microsoft Data Analyst job openings:
What are the most commonly searched types of Microsoft Data Analyst jobs? The most popular types of Microsoft Data Analyst jobs are:
What states have the most Director Microsoft Data Analyst jobs? States with the most job openings for Director Microsoft Data Analyst jobs include:
Director Microsoft Data Analyst jobs near you

Data Analyst Engineer

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

The position of Sr. Business Intelligence Data Analyst/Engineer- must possess a solid knowledge of the principles and practices of enterprise data warehouse development, data modeling and testing and story-telling through data analytics.
Job Duties and Responsibilities:
  • Serve as an internal data consultant, participating in data integration discussions.
  • Participates in the design, development, validation and testing of new or revised reports. Works with user to verify results and content, develops error or exception reports when applicable and receives user sign off on completed work.
  • Analyze and evaluate highly complex business and market data; interpret data for the purpose of determining organizational/program performance, trends and/or probability.
  • Design and apply forecasting and predictive modeling techniques to enhance strategic thinking and business planning.
  • Efficiently and effectively operate across multiple projects simultaneously and assume responsibility for the appropriate data/information architecture, design and quality.
  • Meet with key stakeholders to present and review data output to improve operational performance, support decisions, and enhance planning efforts.
  • Mentor and train on the appropriate usage of data marts, enterprise data warehouse and other data sources used in reporting and analytics, including reporting and visual use cases.
  • Uses and promotes established Software Development Life Cycle (SDLC) standards, QA and change control procedures.
  • As a member of the Data Warehouse Team, you will be involved in all aspects of:
    • Designing, implementing, maintaining, and supporting end-to-end ETL solutions, as well as data warehouse and cubes.
    • Developing, refining and maintaining the security, quality and integrity of data in ETL solutions and the data warehouse at large.
    • Establishing, implementing and upholding data integration standards and methodologies.
    • Creating and executing test plans for ETL and data integration solutions
    • Monitoring ETL jobs to verify execution, maintain performance and resolve data integration issues as they arise.
    • Implementing, maintaining and supporting the data quality, data catalog and master data management initiatives of data marts and the enterprise data warehouse system.
    • Working with Database and System Administrators to establish and enforce best practices for availability, performance, and data security.
    • Proactively designing support activities around data integration; such as on-going data validation and performance tuning.
    • Participating in code and design review to ensure alignment to standards and best practices.
    • Reviewing existing data structures and recommend optimizations and redesigns, as warranted.
  • Serves as a technology advocate throughout the IT organization to help promote the effective use of the data/information architecture to meet business needs and to build sustained competitive advantage for the enterprise.

Knowledge, Skills and Abilities:
  • Proficient use of Microsoft Data Analytics tools (SSIS, SSAS, SSRS, Power BI) as well as Microsoft Office tools.
  • Deep knowledge and practical use of Microsoft Querying Languages, including TSQL, MDX, DAX.
  • Proven ability to design, develop, test and deploy efficient and effective tabular and multidimensional cubes, along with necessary ETL code and processes to support them.
  • Possess in-depth knowledge with one or more BI visualization tools including but not limited to: SSRS, Power BI, Qlik Sense, QlikView, Tableau, SAS Business Intelligence, SAP BusinessObjects BI, MicroStrategy, IBM Cognos Analytics, Sisense, ThoughtSpot, or Google Analytics.
  • Demonstrated experience planning, designing, developing and delivering end-to-end BI/Data Analytics solutions (i.e. - data warehouses, data/ information delivery)
  • Requires proven analytical skills with ability to organize, maintain, process and analyze vast amounts of information and complex issues and communicate findings in a clear, concise manner including verbally, graphically and in writing to a variety of audiences.
  • Ability to utilize critical thinking and project management skills to manage work efforts through to successful completion.
  • Independent problem-solving skills and data analysis techniques required.
  • Requires demonstrated ability to organize and execute work independently and effectively within frequent deadlines.
  • Excellent written, verbal communication and presentation skills are required.
  • Ability to establish and build relationships with all members of the business community are required.
  • Requires ability to maintain effective interpersonal skills with internal and external staff and audiences.
  • In-depth knowledge of relational databases, cubes, data consumption, and advanced data analysis.
  • Ability to lead data exploration with key stakeholders to draw conclusions and make data driven business decisions.

Minimum Requirements
  • Bachelor's Degree in Computer Science, Information Systems, or other related field, or 7+ years equivalent work experience required.
  • Minimum of 7 years' experience designing, developing and tuning complex, large (TB) database management systems in support of operational reporting, decision support, complex data analysis and system integration.
  • Minimum of 7 years' experience working with and tuning Microsoft SQL Server or other similar relational database management systems.
  • Minimum of 7 years' experience in data modeling, database design (multi-dimensional and data warehouse), data integration and ETL.
Preferences
  • High degree of self-motivation, drive and determination, along with high aptitude.
  • Master's Degree is preferred.
  • Supply chain industry experience preferred.
  • Knowledge of and experience with cloud data solution offerings (Azure Data Lake, Data Factory, Data Management Gateway, Azure Storage Options, DocumentDB, Data Lake Analytics, Stream Analytics, EventHub, Azure SQL, etc.)
  • Experience with big data tools: Hadoop, MapReduce, HBase, oozie, Flume and Pig.
  • Experience and knowledge of cost-optimized cloud deployments spanning compute, network and storage.
  • Experience of message queuing, stream processing and highly scalable big data stores.
  • Experience with NoSQL databases, such Cassandra, MongoDB, CosmosDB.
  • Experience working with DevOps tools: ADO, Git, Jenkins, Dockers, etc.
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience in creating advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis and modeling.
  • Experience/ keen interest in exploring latest technologies and programming languages.
  • Have strong interest in future path of to design, develop and support Machine Learning technologies, algorithms and models in support of business initiatives including:
    • Determine the appropriate algorithms to solve a given problem through testing, analysis, and validation with the business.
    • Data exploration and visualization to understand and define features for a given data set.
    • Data model training and tuning to reduce errors and increase reliability and accuracy.
    • Participate in innovation forums to identify new ways to leverage data to solve business issues.

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