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Remote Microstrategy Jobs in Missouri (NOW HIRING)

Data Analyst I (Remote)

Columbia, MO · On-site +1

$70K - $80K/yr

Hiring Department Mizzou Online This recruitment is managed by the Office of Human Resources at the Columbia Campus. For application questions please contact OHR at 573-882-7976. The Solutions and ...

New

Comfortable working in remote, fast-paced environments with cross-functional teams. * Preferred experience with Python or R for statistical analysis, automation, or predictive modeling. * Previous ...

Flexible remote work opportunity based in India. * Full-time engagement of approximately 30-40 hours per week. * Access to ongoing training, professional development, and upskilling opportunities.

Remote Microstrategy information

See Missouri salary details

$45

$58

$73

How much do remote microstrategy jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote microstrategy in Missouri is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Microstrategy position, and why are they important?

To excel as a Remote Microstrategy professional, you need expertise in business intelligence concepts, SQL, data visualization, and a solid understanding of MicroStrategy BI tools, typically backed by a relevant degree in computer science or information systems. Familiarity with deploying and managing MicroStrategy environments, using tools like MicroStrategy Developer and Web, and often certification such as MicroStrategy Certified Architect, are highly valued. Strong analytical abilities, effective communication, and the ability to manage time independently in a remote setting distinguish top performers in this role. These skills are crucial for delivering actionable insights to stakeholders while efficiently managing BI projects from a remote location.

What does a typical day look like for a Remote Microstrategy professional?

A typical day for a Remote Microstrategy professional involves collaborating with business users and IT teams to gather requirements, designing and developing dashboards or reports in the MicroStrategy platform, and troubleshooting technical issues. You may spend a significant portion of your day analyzing datasets, creating data models, or optimizing visualizations to support decision-making. Virtual meetings, agile project discussions, and communicating findings through presentations or documentation are also common. Working remotely, you'll need to proactively manage your schedule and ensure clear communication to keep projects moving smoothly.

What is a Remote Microstrategy job?

A Remote MicroStrategy job involves working with MicroStrategy's business intelligence (BI) tools to develop reports, dashboards, and data analytics solutions from a remote location. Professionals in this role typically design, implement, and optimize BI applications to help organizations make data-driven decisions. Responsibilities may include data modeling, dashboard creation, SQL querying, and troubleshooting BI solutions. This role requires strong analytical skills, proficiency in MicroStrategy software, and often experience with databases and data warehousing. Remote MicroStrategy jobs provide flexibility while still requiring collaboration with teams through virtual communication tools.

What cities in Missouri are hiring for Remote Microstrategy jobs? Cities in Missouri with the most Remote Microstrategy job openings:
Infographic showing various Remote Microstrategy job openings in Missouri as of July 2026, with employment types broken down into 10% Locum Tenens, 19% Internship, 26% As Needed, 42% Full Time, 2% Contract, and 1% Summer. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $120,885 per year, or $58.1 per hour.
Data Analyst Engineer

Data Analyst Engineer

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Posted 17 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.