DATA ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Jun 04, 2025 - The Data Analyst excels in analyzing significant amounts of information with meticulous attention to detail and accuracy. With a strong command of Power BI and data modeling, this role supports services, sales processes, sales operations, and finance, utilizing extensive analytical skills to improve business outcomes. The ability to communicate effectively with both business and IT stakeholders, coupled with a proven track record as a data or business data analyst, ensures that strategic data insights drive organizational success.

Essential Hard and Soft Skills for a Standout Data Analyst Resume
  • SQL
  • Data Visualization
  • Data Manipulation
  • Statistical Analysis
  • Programming
  • Machine Learning
  • Database Management
  • Data Warehousing
  • Big Data Technologies
  • ETL Processes
  • Analytical Thinking
  • Problem-Solving
  • Attention to Detail
  • Communication
  • Time Management
  • Adaptability
  • Teamwork
  • Project Management
  • Critical Thinking
  • Creativity

Summary of Data Analyst Knowledge and Qualifications on Resume

1. BS in Data Science with 4 years of Experience.

  • Experience is required in a data engineering-related role (Data Warehouse Developer, ETL Developer, Business Intelligence Analytics, Software Engineer) with a track record of manipulating, processing and extracting value from datasets
  • Experience in collection, mining, reporting, and analysis of large amounts of data
  • Experience designing, implementing and managing highly scalable data driven platforms that are performant and timely
  • Experience in a variety of data storage platforms (Snowflake, Redshift, MySQL, Postgres, Oracle, RDS, AWS S3)
  • Expert proficiency in SQL and DevOps experience 
  • Proven track record of innovation and expertise in data engineering
  • Must be able to maintain government eligibility requirements
  • Must be able to obtain and maintain a Secret clearance
  • Solid understanding of various data models
  • Skilled in Excel spreadsheet and reporting applications, including V-lookups, pivot tables, and queries

2. BS in Statistics with 2 years of Experience.

  • Relevant work experience in analytics and/or business intelligence
  • Strong analytical skills with a proficient ability to read/write complex SQL queries to analyze data
  • Experience with data visualization tools (Tableau, Looker, etc.) coupled with strong storytelling skills for technical and non-technical audiences
  • Experience taking vague requirements and manipulating them into polished final products
  • Strong and effective communication and presentation skills
  • Experience in statistical analysis tools like R or Python
  • Understanding of data warehousing concepts and design
  • Prior experience in Media/Entertainment 
  • Passion for sports content
  • Capable of working independently with minimal oversight
  • Considerable understanding of data management and manipulation

3. BS in Computer Science with 3 years of Experience.

  • Ability to communicate in a pan pacific environment with strong collaborative and interpersonal skills.
  • Demonstrated ability to effectively guide and influence within a dynamic matrixed environment.
  • Validated leadership skills, discernment, and ability to lead and operate at both a process center level and overall total system level.
  • Previous analytics experience in a retail, manufacturing or supply chain field 
  • Hands-on experience with SQL, Python or another programming language.
  • Experience working with data warehouse, reporting tools.
  • Strong history of success in similar environments.
  • Industrial engineering background.
  • Experience with Splunk and Linear Programming
  • Data Science/ML Experience.

4. BS in Information Technology with 2 years of Experience.

  • Experience in a data driven role
  • Strong analytical skills and business acumen with an eye for detail and accuracy
  • Customer and results focused, with an ability to work with stakeholders to understand and act based on their needs, assess risks, and achieve a valued result
  • Comfortable with ambiguity and able to operate in a matrix environment with complex tasks
  • Proven problem solving skills with the ability to break down high-level data into easily communicated information
  • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment
  • Intermediate to Advanced user of SAS (SAS Enterprise Guide)
  • Experience in SQL Coding and SQL databases
  • Intermediate to Advance use of Tableau or other visualization tools to create reports, visualization of insights & analysis
  • Advanced user of Microsoft Excel

5. BA in Business Analytics with 1 year of Experience.

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Strong executive communication and the ability to deliver clear instruction over digital, written, and live communications.
  • Strong communication and collaboration skills with capability to execute with business and IT stakeholders. 
  • Ability to translate isolated data asks into broader business needs to deliver greater impact
  • Strong working knowledge of Power BI and data modeling. 
  • Experience with Services, Sales Process, Sales operations and/or Finance
  • Familiar with financials, pipeline, forecast, consumption, and other internal measurement tools
  • Proven working experience as a data analyst or business data analyst
  • Experience in Power BI Report Development
  • Experience in DAX and M (Power Query Language) or experience in SQL
  • Basic understanding of data modelling and connections in Power BI
  • Extensive knowledge of Data Modelling in Power BI, experience working with Star & Snowflake Schemas, and comfortable working with multiple data sources

6. BS in Data Science with 4 years of Experience

  • Excellent SQL skills including extensive experience querying large, complex data sets
  • Advanced knowledge of Excel and MS Office suite is essential
  • Good experience in R/Python
  • A good knowledge of databases/BI
  • A good knowledge of Tableau software
  • Good analytical and reporting skills
  • Excellent organizational, communication and interpersonal skills
  • Ability to execute research projects and generate practical results and recommendations
  • Good client management skills with a strong grasp of both technical and business perspectives
  • Ability to work in a fast-paced environment, and to meet changing deadlines and priorities on multiple simultaneous projects

7. BS in Computer Science with 3 years of Experience

  • Experience working with large data sets in order to extract business insights
  • Hands-on experience in developing Data Lineage, Data Profiling, Data Quality Rule Implementation, Business Rules Validation, Identification of Data Errors and Produce/Publish DQ reports
  • Mandatory skillsets around Unix and SQL scripting
  • Knowledge of JIRA or any workflow tools, Dashboard tools, Hadoop and Java/Json
  • Creative Thinker in Technology Tooling and applications
  • Good Communication and Presentation skills
  • Able to create ad-hoc reports, dashboards using MS Excel, MS Power Point and Visio.
  • Ability to multi-tasking and support multiple data management standards
  • Industry experience in building and operationalizing various Data Management and/or Governance solutions in banking and finance domain
  • Effectively drive the Change Management initiative for implementation

8. BS in Statistics with 4 years of Experience

  • Knowledge of various data analysis tools such as SQL or any other similar tools
  • Knowledge of complex data structures and the ability to enhance the data to be integrated across the business
  • Conceptual knowledge of data and analytics, such as dimensional modelling, ETL, reporting tools, structured and unstructured data
  • Knowledge of marketing technologies such as Adobe Experience Cloud and Pega
  • Strong Data Analysis experience.
  • Experience with cloud technologies, GCP and AWS
  • Knowing about Big Data technologies including Spark, Kafka
  • Knowledge about migrating the on-premises data pipelines and data warehouse to Google Cloud Platform or AWS
  • Ability to translate business requirements into technical analysis

9. BS in Mathematics with 2 years of Experience

  • Experience with data analysis and managing a large amount of data
  • Advanced knowledge of software applications including Excel, Power BI and Access
  • Experience within a distribution environment
  • Strong analytical and troubleshooting skills to identify and resolve complex problems
  • Ability to work independently as well as with a team
  • Strong communication and interpersonal skills
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), and programming (XML, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SAS etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

10. BS in Information Technology with 3 years of Experience

  • Proficient in data visualization and reporting in Power BI and Excel/PowerPoint. 
  • Experience in other data visualization tools such as Tableau, Qlik, SAP, etc. and willingness to switch to new technologies.
  • Experience in scripting languages to perform the analysis and visualization (Python or R)
  • Understanding of basic statistical methods and can perform hypothesis testing.
  • Experience with data systems of Marketing, Sales such as Salesforce, Google Analytics, Hubspot, LinkedIn ads, Facebook ads, etc
  • Able to work with data from multiple sources, both databases, API, or raw files
  • Understanding of Data Warehouse or experience working on a data warehouse
  • Exposure to BigQuery and GCS
  • Knowledge of statistical modelling & ML techniques
  • Knowledge of scripting languages (Python, R) and/or web development
  • Hands-on experience of SQL, designing dashboards using Data Studio and/or Power BI

11. BS in Economics with 4 years of Experience

  • Proficiency in any of the following programming languages including Python, R
  • Proficiency in any of the following BI platforms including Tableau, AWS QuickSight, Google Data Studio, and Power BI
  • Experience with database and data warehouse technologies
  • Knowledge and experience in data mining, data analytics and statistical modelling of large data sets
  • Experience with AWS or GCP cloud technologies
  • Strong presentation and visualisation skills
  • Business acumen to turn data into insights that are relevant
  • Strong organisational skills resulting in effective delivery to deadlines
  • Good written and oral communication skills in English

12. BS in Engineering with 3 years of Experience

  • Strong knowledge and experience with structured and/or unstructured database management systems (MySQL, SQL Server, MongoDB, etc.).
  • Fluence in programming languages such as SQL, R, Python, etc.
  • Knowledge of statistics (descriptive analysis, hypothesis testing, etc.) and experience using statistical tools (SPSS, SAS, etc.) for analyzing datasets.
  • Knowledge of the data analytics cycle including collecting, preprocessing, modelling, analyzing, and presenting results/insights.
  • Advanced user of Power BI or relevant BI tools.
  • Experience with a cloud big data analytics platform
  • Experience with customer experience analytics
  • Experience working in a cross-functional team.
  • Ability to take data, turn it into insights and report back in clear, concise format with recommendations for action.
  • Strong organization and documentation skills.
  • Relationship-building skills and the ability to gain influence with key stakeholders in order to drive data-driven decisions.
  • Strong English skills including written and verbal communication..
  • Experience using Content Square or other user experience analysis tools

13. BS in Physics with 2 years of Experience

  • Experience in a data-driven role in payment fraud detection and prevention, with an understanding of the impact that fraud prevention has on other areas in the company where business and product decisions are made
  • Extensive experience in detecting and analyzing fraud at the individual transaction level as well as across large data sets
  • Coding skills for analytics and data manipulation (SQL, R, Python, Pandas, Scala)
  • Experience with data visualization tools such as Tableau or the weapon of choice
  • Strong analytical and statistical skills in order to extract insights and recommendations
  • Fluent in English with strong communication skills (both written and verbal)
  • Knowledge of machine learning algorithms, including classifiers, clustering algorithms, and anomaly detection
  • Solid understanding of data modeling Techniques
  • Ability to effectively work with internal teams across numerous functions and levels
  • Ability to quickly learn complex business processes and understand the underlying transactional systems

14. BS in Finance with 4 years of Experience

  • Strong SQL skills and experience working with a modern Data Warehouse like Redshift, Snowflake or BigQuery
  • Experience building reports on BI tools like Looker, Tableau or QlikView.
  • Experience with Web Analytics tools like Google Analytics, Mixpanel, Amplitude, etc.
  • Experience in e-commerce with a background in hypothesis-driven A/B Testing
  • Excellent oral and written communication skills
  • Ability to clearly explain concepts and actionable insights
  • Experience with Card Management systems, debit card processing
  • Strong communication skills and the ability to provide technical information to non-technical colleagues
  • Ability to manage and prioritize work queue across multiple workstreams
  • Experience in data processing (ETL) conversions or the financial services industry
  • Experience and strong knowledge of SQL Server/SSIS, Visual Basic and Microsoft Access

15. BS in Business Analytics with 3 years of Experience

  • Knowledge of Product analytics tools (Google Analytics, Amplitude, Heap etc.)
  • Proficient in SQL, experience with Python or R, and comfortable with statistical concepts (i.e., hypothesis testing, experimentation, regression etc.)
  • Experience building intuitive and impactful dashboards and data visualizations using Tableau, Power BI, Looker etc.
  • Experience with statistical methods to analyse the relationship between various factors that influence key outcomes
  • Well-honed communication and presentation skills, able to transform a quantitative analysis to executive-level insights
  • Experience applying various clustering and classification models or statistical techniques to solve business problems
  • Experience in consumer-facing product/data analysis
  • Experience in Product, FinTech or Crypto etc.
  • Proficient with querying relational databases and/or Hadoop.
  • Research or experience in data analysis where problems are poorly defined, complex and cross-functional and possess uncertainties and multiple objectives
  • Deep understanding of BI tools including Excel, Reporting Tool Consumption (Cognos, Tableau)
  • Strong business domain knowledge including business analytics, marketing data, automotive and understanding the exponential change within this domain, is paramount to success

16. BS in Management Information Systems with 4 years of Experience

  • Advanced knowledge of ANSI SQL
  • Experience on T-SQL/Microsoft SQL Server is the most desired
  • Strong working knowledge of Excel
  • Experience with SQL Server, SSRS (SQL Server Reporting Services), Power BI, R, Python
  • Strong experience with data mining & analysis
  • Ability to conduct extensive data research and handle large/multiple datasets
  • Capable of communicating and expressing ideas clearly & concisely, in both written & oral formats
  • Capable of being objective and giving/taking constructive feedback
  • Experience with Salesforce would be ideal
  • Experience with Power BI & SQL Server is weighted more positively
  • Intermediate knowledge of DAX
  • Experience in Financial Services, Risk Management, Subprime Lending, Loan Portfolio Analysis
  • Evidence of having created relevant dashboards that had an impact on the business

17. BS in Operations Research with 3 years of Experience

  • Excellent command of English, both written and spoken
  • Experience with data analytics, web analytics or information technologies
  • Experience with SQL, Qlik Sense, Power BI
  • Experience with Sales Force Marketing Cloud & Veeva CRM
  • Experience with Python
  • Strong analytical skills, identifies opportunities and capitalizes on them through rapid disciplined decision making
  • Collaborative, committed, result-oriented and business-minded personality
  • Strong interpersonal and communication skills
  • High proficiency in MS Office (i.e. Excel, Word and PowerPoint) data analysis tools
  • Extensive use of scientific design and data collection methodologies, tools and analysis packages to collect, validate, and analyze research data.
  • Ability to effectively communicate research plans, proposals, and results, and negotiate options at senior management levels.
  • Application and implementation of experimental design, scientific procedures and processes, and data analysis.

18. BA in Economics with 4 years of Experience

  • Experience in data, reporting, and analytical problem solving
  • Hands-on experience with SQL
  • Experience in project managing data-centric projects
  • Communication skills with experience explaining technical concepts to technical and business partners
  • Experience building Interactive Visualizations such as Tableau, etc.
  • Experience in Programming Languages such as Python, R or any other programming languages
  • Hands-on experience building extract, transform, load (ETL) data pipelines
  • Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions)
  • Ability to make impactful presentations
  • Demonstrated experience collaborating with multiple stakeholders across functions and time zones
  • Experience in a dynamic and fast-paced operational environment

19. BA in Sociology with 3 years of Experience

  • Experience in Data or Analytics, Communications, Media, Public Affairs, Sustainability, Consumer Insights or Market Research
  • Able to conceptualize frameworks and research models for diverse marketing and consumer insights problems
  • Capable of tackling structured and unstructured problems while coordinating all phases of analysis from formulation to conclusions and recommendations
  • Comfortable with large amounts of data and qualitative insights
  • Clear and confident communicator and presenter
  • Proven track record of using data to create strategic recommendations and narratives
  • Experience working in networked, cross-functional and cross-geographical teams
  • Knowledge of market research techniques
  • Coca-Cola system knowledge and understanding of the dynamics of the soft drink industry
  • Experience leveraging digital products and tools
  • Prior experience working in multiple markets

20. BA in Psychology with 2 years of Experience

  • Experience with business intelligence and visualization tools, creating management dashboards
  • Strong analytical skills and a passion to work with large sets of data
  • Passionate about learning new technologies and working on a product of massive scale and impact
  • Expert at writing SQL queries against large amounts of data
  • Excellent communication and organizational skills
  • Ability to get hands-on in a complex operational environment
  • Knowledge with reporting tools such as Tableau, MicroStrategy or Looker
  • Knowledge in Python, R, Spark, Hive
  • Experience in ETL / ELT
  • Experience working with dimensional data, data lakes
  • Experience working with MPP databases like Redshift

21. BA in Political Science with 3 years of Experience

  • Experience in facilitating workshops and discussions to effectively gather requirements and achieve a joint understanding of data and insight needs
  • Able to understand the client's business challenges and recommend data visualisation and dashboard approaches to help address customer needs. 
  • Able to identify missed opportunities for data insight.
  • Able to review and comment on data models- for example, pointing out why models are defective and suggesting improvements.
  • Clear written and verbal communications
  • Able to communicate with a wide range of people.
  • Familiar with the production of data analysis outputs such as profiling reports data quality reports and data visualisations. 
  • Confident in summarising and presenting conclusions for senior stakeholders, telling the 'data story' without using jargon.
  • Experience in manipulating or wrangling data for analysis
  • Proficient in more than one reporting or data visualisation platform.
  • Strong SQL knowledge, able to read and understand XML and JSON.
  • Able to produce proposed implementation plans for data analysis work, including estimated effort and technical implications of data insight products.
  • Strong leadership, analytical and communication skills with a passion for data-driven decision making and for establishing best practice
  • Able to give feedback and mentor more junior colleagues

22. BA in Communications with 4 years of Experience

  • Experience with MS Azure
  • Experienced with structured and unstructured data
  • Experience with Tableau and Google Analytics
  • Experience in combining qualitative and quantitative datasets
  • Experience in system performance analysis.
  • Experienced in either programming languages such as Python and/or R, and data visualization tools such as Tableau.
  • Experience working with large datasets.
  • Strong data attribute knowledge in capital markets - to be utilized for data model validations, sample file analysis and DQ for ingestions.
  • Operational experience (Trade settlement and Risk and P&L Reporting)
  • Experience in creation of B/FRDs – Good documentation and communication with the technology team both to provide requirements and understanding of any issues is paramount
  • Strong Excel, SQL, Python, JIRA skills
  • Excellent communication skills, structured and organized
  • Excellent Stakeholder and management reporting skills
  • Experience with project planning and tracking with proficiency in excel and JIRA automation
  • Dashboards/BI reporting experience

23. BA in Geography with 3 years of Experience

  • Expert SQL skills for complex querying, analysis, performance optimization, and persisting data
  • Excellent data visualization skills with tools like Tableau, Looker, ThoughtSpot, MicroStrategy, etc.
  • Experience working in a “big-data” environment (Hadoop, Hive, Presto, Snowflake, Redshift, etc.)
  • Experience demonstrating analytical concepts to craft an actionable story for technical and non-technical audiences
  • Understanding of data warehousing concepts, design, modeling and data engineering
  • Experience taking vague requirements and transforming them into crisp insights
  • Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics-driven insights
  • Demonstrable ability to build strong working relationships with business partners and technical colleagues
  • Outstanding written and oral communication skills
  • Effective presentation skills across a diverse audience
  • Experience in the streaming media industry or other subscription-based service
  • Experience in the technology industry, knowledge of data products
  • Python experience writing, managing and deploying code

24. BA in Business Administration with 4 years of Experience

  • Experience in Power BI reporting/ Azure data factory/ SharePoint development.
  • Able to perform ETL [Extract, Transfer & Load] activities. 
  • Expertise in Data stage, solid understanding of Data warehousing concepts with significant experience with ETL Business Intelligence projects.
  • Ability to provide Power BI solutions to report requirements for RE professionals, which should enable tracking of leading indicators for each of the business units.
  • Experience in SharePoint end-to-end development and creating workflow solutions
  • Skilled at stakeholder management and being able to effectively manage assigned timelines, juggling multiple projects and responsibilities to ensure that the systems and processes are systematically aligned & integrated with stakeholders (suppliers & staff) and business partners.
  • Good experience with Azure storage services such as Blob, Data Lake, Table Storage
  • Strong team player by actively contributing to deliver a common goal, sharing experiences and best practices to deliver together.
  • Ability to support challenge based on actionable (accurate) information & data that drives strategic business decisions within and outside Real Estate
  • Able to apply change concepts and principles necessary to effectively manage and influence the people-side of change and be able to identify, initiate and manage improvements required to achieve RE business goals as part of RE OE team.
  • Knowledge of process improvements, experienced in collaborating with different teams and continues to learn the new technologies and practices recommended by Shell – Agile, Power Apps, ADF etc.
  • Strong business acumen, which in turn will be effective in understanding and build the business goal using Power BI and ADF.
  • Ability to integrate and collaborate across boundaries to maximise commercial value for Shell as a whole.

25. BA in Marketing with 3 years of Experience

  • Solid quantitative and analytical skills and knowledge of statistics (AB testing, hypothesis testing, regression, etc.)
  • Strong skills in SQL, Excel and Python for data analysis
  • Proficiency in data modeling and knowledge about database performance
  • Strong data visualization skills and proficiency in at least one tool (PowerBI, Tableau, Looker, etc.)
  • Ability to adopt the posture of an expert and a leader as a data analyst
  • Fluent in at least three of the following languages including English, Kosovar, French, Corsican, or Python
  • Good judgment in assessing information sources and understanding the downstream effects of data decisions on final product output
  • Highly motivated, independent, results-oriented, and possesses a strong sense of ownership
  • Experience in data collection and business research
  • Experience in data sanitising, manipulation and understanding of data relationships

26. BA in English with 2 years of Experience

  • Ability to translate business goals and requirements into technical objectives.
  • Can conceptualize & contextualize information, creating mental maps that can be used to navigate problems and create solutions.
  • Strong communication and interpersonal skills.
  • Strong ability to build and maintain business reports using Microsoft Reporting Services (SSRS).
  • Experience with data transformation/extraction using integration services such as Microsoft SQL Server Integration Services (SSIS).
  • Ability to retrieve and collect the appropriate data sources using various tools including Microsoft SQL Server Management Studio (SSMS).
  • Advanced Excel proficiency including pivot table creation and linking to external data sources.
  • Experience using MS SQL databases.
  • Experience working with a cloud-based environment such as Microsoft Azure using data lakes, pipelines, and other data services.
  • Data Analytics experience and demonstrated aptitude.
  • Ability to create and maintain dashboards using Business Intelligence tools like PowerBI, Tableau, etc.
  • Experience using GIT, Visual Studio or DevOps source control.
  • Oracle DB and/or other data storage type experience
  • Experience in an Agile shop for projects and work requests.

27. BA in Public Policy with 4 years of Experience

  • Experience with SQL Server data administration. 
  • Outstanding communication, interpersonal and reporting/presentation skills. 
  • Report development experience with SSRS. 
  • Experience in proactive analysis, scripting and generating reports
  • Experience with ETL tools, appliances and platforms including MuleSoft, Informatica, Jitterbit, and CastIron. 
  • Experience in Financial Services/Insurance
  • Excellent English language skills (speaking and writing)
  • Advanced knowledge of one or more of the mainstream data analytics and data science languages and packages including Python, R, Matlab, Excel, etc.
  • Experience with commonly used data science methodologies (regression, tree and forest, neural networks)
  • Experience with a few analytical platforms and tools such as Google Data Studio, Metabase, Tableau, and Looker
  • Good logical/analytical thinking and problem-solving skills, as well as a high degree of accuracy and excellent attention to detail
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