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Data Analyst Computer Science Jobs in Missouri (NOW HIRING)

Walmart

(USA) Senior, Data Analyst

Noel, MO

$80K - $155K/yr

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Walmart

(USA) Senior, Data Analyst

Cassville, MO

$80K - $155K/yr

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Walmart

(USA) Senior, Data Analyst

Anderson, MO

$80K - $155K/yr

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Guarantee Electrical

Data Analyst I

Saint Louis, MO · On-site

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, related field, or similarly relevant experience. Nice to Have: * Analytics experience: 1-4 years of experience as ...

Guarantee Electrical

Data Analyst I

Saint Louis, MO · On-site

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, related field, or similarly relevant experience. Nice to Have: * Analytics experience: 1-4 years of experience as ...

Safety National

BI Data Analyst

Saint Louis, MO · On-site

Bachelor's degree in data analytics, information systems, computer science, or a related field is preferred Required Qualifications: * 1+ years of experience in reporting, data analysis, or analytics ...

Safety National

BI Data Analyst

Saint Louis, MO · Hybrid

Bachelor's degree in data analytics, information systems, computer science, or a related field is preferred Required Qualifications: * 1+ years of experience in reporting, data analysis, or analytics ...

EquipmentShare

Financial Data Analyst

Kansas City, MO · On-site

We're hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO , and we're ... Bachelor's degree in Accounting, Finance, Statistics, Economics, Computer Science, Mathematics or ...

EquipmentShare

Financial Data Analyst

Kansas City, MO · On-site

We're hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO , and we're ... Bachelor's degree in Accounting, Finance, Statistics, Economics, Computer Science, Mathematics or ...

EquipmentShare

Financial Data Analyst

Kansas City, MO · On-site

We're hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO , and we're ... Bachelor's degree in Accounting, Finance, Statistics, Economics, Computer Science, Mathematics or ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Missouri

Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What are popular job titles related to Data Analyst Computer Science jobs in Missouri? For Data Analyst Computer Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Missouri look for? The top searched job categories for Data Analyst Computer Science jobs in Missouri are:
What cities in Missouri are hiring for Data Analyst Computer Science jobs? Cities in Missouri with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you

Data Analyst Engineer

The Timberline Group

Saint Louis, MO • On-site

Full-time

Posted 6 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.

The Timberline Group
Phone: 636-209-5537
PO Box 385, Lebanon, MO 65536
www.timberlinegrp.com
resumes@timberlinegrp.com
"Delivering quality solutions through quality people"

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