DATA ANALYTICS SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: Jun 04, 2025 – The Data Analytics Professional demonstrates expertise in extracting, transforming, and visualizing complex data to support informed decision-making. This position requires proficiency in using analytical tools such as SQL, Python, and Tableau to uncover trends and optimize business strategies. This role requires strong experience in managing large datasets and delivering actionable insights across cross-functional teams.

Essential Hard and Soft Skills for a Standout Data Analytics Resume
  • SQL
  • Python
  • Data Modeling
  • Tableau Dashboard
  • Business Intelligence
  • Data Visualization
  • Predictive Models
  • Reporting Systems
  • Data Engineering
  • Query Tuning
  • Critical Thinking
  • Team Communication
  • Stakeholder Input
  • Team Leadership
  • Process Optimization
  • Strategy Leadership
  • Result Communication
  • Partner Collaboration
  • Project Management
  • Innovative Solutions

Summary of Data Analytics Knowledge and Qualifications on Resume

1. BS in Data Analytics with 4 years of Experience

  • Excellent verbal and written communication skills.
  • Strong analytical/problem-solving skills 
  • Strong SQL, VBA, and Excel experience
  • Advanced Excel skills (Ad hoc reports, dashboards, pivot tables, advanced formulas, etc.)
  • Experience with Advanced Statistical Analysis and Data Platform tools such as Tableau, R, Python or similar tools
  • Knowledge of key CRM systems (Salesforce)
  • Ability to develop and maintain excellent working relationships with all assigned levels within and outside the company.
  • Ability to plan, organize, and prioritize multiple assignments and projects.
  • Ability to review detailed product development, marketing documents and media materials.
  • Competency in both oral and written communication modes for both internal and external personnel at various levels.
  • Ability to develop tasks and work assignments, based on sometimes vaguely defined objectives.

2. BA in Economics with 3 years of Experience

  • Ability to conceptualize and bring to life.
  • Experience in Data Analysis, Reporting or Process Automation.
  • Proficiency in data analytics using Alteryx to automate data preparation, blending, enrichment, and transformation to develop risk insights.
  • Demonstrated technical capabilities to work with data - SQL query development and Python.
  • Proficiency in simplifying raw data in an easy-to-understand format using Tableau.
  • Strong quantitative, analytical research and written skills with the ability to prioritize tasks.
  • Strong presentation, communication and coordination skills.
  • Advanced proficiency in the Microsoft Office suite including Excel, Word and PowerPoint.
  • Experience working at a regulatory agency and/or broker-dealer.

3. BS in Computer Science with 5 years of Experience

  • Experience in working in data analytics/data science, statistical consulting/applied research roles, business intelligence, or data-focused risk analysis within banking or financial services sector.
  • Understanding/experience in applying data analytics in a business context and practical knowledge of relevant analytics software tools and infrastructure.
  • Proficiency in SQL, T-SQL, strong experience in reporting/dashboarding tools e.g. PowerBI, SSRS, Tableau
  • Strong experience in R and/or Python and the relevant data manipulation and visualisation libraries, ability to acquire proficiency in the above
  • Knowledge of or willingness to acquire an understanding of the broader banking regulatory environment.
  • Good analytical, problem-solving solving and organisational skills as well as an ability to manage multiple requests and prioritise accordingly.
  • Ability to critically assess complex / once-off issues and recommend/implement solutions.
  • Experience or demonstrable interest in text analysis, network analysis etc as well as a willingness to collaborate on innovative projects
  • Strong verbal and written communication in particular the ability to relate to senior management and staff.

4. BA in Statistics with 2 years of Experience

  • Ability to design a reusable model life cycle pipeline to make model development and testing a repeatable process
  • Extensive practical expertise and work experience with Machine Learning, both supervised and unsupervised. 
  • Deep Learning (neural network) experience
  • Hands-on programming skills and ability to write modular and scalable code in Python/R. 
  • Experience across a broad range of modern analytic and data tools, particularly Python/Anaconda and/or R, XGBoost, Tensorflow and/or Keras, Spark, Hive, SQL
  • Familiar with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization)
  • Excellent problem-solving, communication, and teamwork skills
  • Knowledge in Alteryx and Tableau

5. BS in Information Technology with 4 years of Experience

  • Experience developing ETL workflow with SQL, working with Redshift DB.
  • Experience with Business Intelligence tools such as Looker and Tableau with Looker
  • Experience in establishing and utilizing data analytics standard methodologies.
  • Experience with transactional data processing, ETL, data warehouse, data mart, and operational reporting solutions
  • Experience with DBT and Fivetran
  • Excellent organizational skills and detail-oriented.
  • Exceptional teammate who establishes positive working relationships.
  • Good communication skills with the ability to express sophisticated concepts effectively.
  • Ability to multitask in a dynamic environment.

6. BA in Mathematics with 3 years of Experience

  • Experience building, deploying, maintaining, and supporting financial reports via SSRS/SSIS or BI tools (Looker, Tableau, PowerBI, etc.)
  • Ability to define and create appropriate KPIs and insightful stories to track the right metrics in business dashboards
  • Advanced SQL skills to extract and model data from a variety of data sources
  • Experience implementing Data Warehouse models (dbt, Kimball and/or Data Vault), ETL processes
  • Experience with SDLC within a Data Warehouse context, including experience using Git and familiarity with Continuous Integration and Deployment
  • Excellent communication skills with both technical and non-technical stakeholders
  • Familiarity with basic statistical concepts

7. BS in Business Analytics with 1 year of Experience

  • Experience using Tableau, Domo, or other BI reporting tools
  • Basic knowledge in SQL (not mandatory but encouraged)
  • Outstanding communication skills
  • Self-driven and motivated to learn and explore
  • Analytical and eager to learn with a can-do mentality
  • Proven problem-solving skills and experience working with business users
  • Fluent in English and good German language skills

8. BA in Sociology with 2 year of Experience

  • Basic understanding of Hadoop, Tableau and Alteryx and associated techniques such as data wrangling, graphical presentation, and predictive analytics/statistics
  • Demonstrates a high level of professionalism and the ability to manage multiple tasks simultaneously
  • Exercises excellent judgment and initiative in handling business issues of significance to the company
  • Excellent English language verbal and written communication skills with the ability to communicate effectively with non-technical personnel
  • Strong analytical and problem-solving skills with an attention to detail
  • Strong team player with the interpersonal skills to work effectively with end-users and co-workers
  • Able to organize and prioritize work assignments while handling multiple tasks and deadlines

9. BS in Applied Mathematics with 1 year of Experience

  • Knowledge of big data solutions, data warehouse architectures, infrastructure components, data governance considerations, data integration and business analytics
  • Experience with one or more relational and non-relational data stores (Hadoop, Object Stores, Db2, MongoDB, DataStax, EDB)
  • Experience with one or more leading cloud platforms like IBM Cloud, Amazon Web Services, Azure and Google Cloud
  • Experience with scripting languages such as Shell, Python
  • Experience working with various data structures and algorithms
  • Analytical approach to problem-solving
  • Experience in leveraging technology to solve business problems
  • Critical thinking with good problem-solving skills
  • Good verbal, written, and interpersonal communication, very good listening, and interpretation skills
  • Ability to identify, communicate, and act on issues and initiatives
  • Knowledge of API/first architecture design, distributed systems (e.g., microservices, Virtualization) and cloud infrastructure for large-scale data warehouse, data lakes, and data fabric.
  • Experience working with cloud technology implementation
  • Experience with implementing open-source technologies

10. BA in Psychology with 7 years of Experience

  • Experience in consulting or similar analyst position implementing Tableau dashboards and business objects reporting
  • Experience in Tableau development
  • Proven experience in Business Objects development
  • Skilled with data analysis, data visualization and reporting & analytics
  • Excellent knowledge of SQL for performing data analysis and performance tuning
  • Experience with WebFocus, ETL, SAP native HANA modeling
  • Ability to test and document end-to-end processes
  • Proficient in MS Office suite (Word, Excel, PowerPoint, Access, Visio) software

11. BS in Management Information Systems with 6 years of Experience

  • Knowledge of an analytical tool (ie R, Python), ETL tools (ie Talend), and a virtualization tool (ie Denodo) or another analytical tool
  • Experience working with AWS cloud-native technologies, for example, RedShift Spectrum, S3, Athena
  • Advanced working SQL knowledge and experience working with a variety of database technologies (PL/SQL, MySQL, JDBC, NoSQL)
  • Experience building and optimizing big-data data pipelines and data sets including Postgres, AWS Relational Data Service, AWS Aurora and Dynamo DB
  • Experience shredding XML/JSON files and MongoDB as a data source
  • Knowledge of Tableau and/or MicroStrategy
  • Familiarity with the Secondary Mortgage Market and/or Freddie Mac business and operations
  • Strong leadership experience in a highly matrixed environment
  • Strong verbal and written communication skills, including the ability to present content from low to high levels of complexity to audiences of varying levels of seniority.
  • Ability to interact cross-functionally and participate in both business and technical discussions.
  • Strong desire to work with data
  • Deep curiosity to learn about new trends and the latest and greatest in the Data Analytics space
  • Ability to develop mutually beneficial relationships inside and outside of Single-Family
  • Ability to use data to formulate and flex communications

12. BA in Geography with 5 years of Experience

  • Advanced SQL knowledge with experience in optimising query performance
  • Experience in analysing and manipulating large data sets
  • Experience in data visualisation with the ability to present complex data clearly
  • Confident communicator comfortable with communicating to stakeholders with varying technical abilities and in different settings including eliciting requirements, delivering training, and collaborating with stakeholders
  • Experienced working with modern Business Intelligence tools such as Looker, Tableau or Power BI
  • Detail-oriented with a demonstrably high standard for data accuracy and documentation
  • Experienced in data modelling and architecture techniques for BI and Analytics (e.g. Kimball, Inmon etc)
  • Developer experience in Looker
  • Experience with BigQuery
  • Experience with writing scalable ETLs using tools such as DBT and Airflow
  • Experience with the command line and GIT
  • Working knowledge of Python
  • Familiar with data governance practices and adept at designing policies and processes for how data teams interact with each other

13. BS in Statistics with 4 years of Experience

  • Strong analytical, problem-solving, and organizational skills
  • Excellence Six Sigma/Greenbelt certification or FPX certification
  • Proficiency in SAP or other ERP systems
  • Experience with Project management tools/process
  • Knowledge of and practical experience with analysis or statistical tools
  • Advanced knowledge of Microsoft Excel.
  • Proficient knowledge of data modeling.
  • Ability to manage multiple priorities and simultaneous projects in a rapidly growing practice.
  • Exhibit a sense of urgency in attaining internally established targets and timelines
  • Strong leadership, business development, recruitment, training, and mentoring skills.
  • Excellent written, presentation, leadership, and interpersonal communication skills.

14. BA in Marketing with 3 years of Experience

  • Knowledge of the technology industry and the venture capital industry
  • Strong organizational skills and attention to detail
  • Strong analytical and written and oral communication skills
  • Strong skills in the Microsoft suite including PowerPoint, Excel and Word
  • Experience with a CRM solution i.e., Salesforce
  • Ability to develop strong relationships and engage with all levels of an organization
  • Ability to work in a fast-paced, high-volume, matrixed organization and often a quickly changing environment
  • Ability to take initiative, solve problems, and work under tight deadlines
  • Ability to manage multiple projects at once and collaborate across multidisciplinary teams

15. BS in Data Science with 2 years of Experience

  • Experience in building data pipelines from on-prem data sources, blob storage to Azure SQL database or Kusto
  • Expertise with Python and experience with other scripting languages (e.g., R, or similar).
  • Familiarity with libraries such as Pandas, Keras, Pytorch, Scikit-learn, etc.
  • Experience in developing on Azure SQL database, Azure Analysis Services, Azure Data Factory, and Power BI
  • Experience in developing on DAX, ETL using Microsoft BI stack, SSIS, SSAS
  • Demonstrated ability to work in ambiguous situations and across organizational boundaries.
  • Deep practical hands-on experience in Azure Synapse, Databricks, Azure Data Lake V2, Azure Purview
  • Experience in using Azure Storage, Virtual Networks, and Virtual Machines
  • Experience in using technologies such as HDInsight and other Azure Data Services
  • Experience with Big Data platforms, Kusto, and Cosmos.

16. BA in Finance with 4 years of Experience

  • Experience implementing and optimizing a variety of ML algorithms in production (Regression, Deep Learning, Gradient Boosting, Dimensionality Reduction)
  • Solid Python programming skills and coding practices ( CI/CD, package design, unit testing, etc )
  • Experience with common machine learning frameworks including TensorFlow, PyTorch, Keras, and Spark ML
  • Experience joining and processing terabyte data sources into curated feature datasets (batch and streaming methods )
  • Experience implementing API interfaces for model serving ( i.e. OpenAPI, FastAI )
  • Experience in optimizing models on various types of compute (CPU / GPU, Spark, Kubernetes )
  • Experience with orchestration frameworks like Azure Data Factory, Airflow or equivalent
  • Knowledge of statistics and experiment design ( i.e. A/B testing, causal inference)
  • Experience with containerization including Docker, Kubernetes
  • Experience with Azure Machine Learning (or equivalent)
  • Experience with ML Ops frameworks like MLFlow, KubeFlow or equivalent
  • Experience with compiled languages including C++, C#, or Java
  • Experience with Microsoft analytics systems including Cosmos, Kusto, Substrate AI, and Synapse

17. BS in Operations Research with 2 years of Experience

  • Experience in delivering business intelligence and dashboard solutions.
  • Expert in Tableau and data visualization design.
  • Experience in analyzing, compiling, cleansing, interpreting, joining and staging data.
  • Experience in working with an Enterprise Data Warehouse and Snowflake, Teradata, Oracle and/or SQL Server databases.
  • Demonstrable skills in building responsive data visualizations.
  • Experience working in an Agile development environment.
  • Ability to research product and technical data in order to recommend products, technologies, and processes for ongoing projects.
  • Ability to produce high-quality data visualizations in a fast-paced environment.
  • Experience with data, as well as visualizing it with a variety of tools (Tableau, Looker etc).
  • Strong background in data relationships, modeling, semantic layer and mining.
  • Proficient in data wrangling technologies like SQL and Python.
  • Experience with Snowflake, Teradata or another parallel database.
  • Experience working with complex and large volumes of data.
  • Ability to filter the signal from the noise in datasets.
  • Ability to work independently and problem solve with little to no direction.
  • Willingness and ability to learn in a fast-paced environment.
  • Ability to teach and train effectively.
  • Experience managing multiple, simultaneous projects.

18. BA in Political Science with 3 years of Experience

  • Experience with embedded analytics, SAP BW, SAP Business Objects, BW on HANA, SAC
  • Experience in global SAP and other ERP implementations, experience managing large global teams
  • Experience in analytics, business intelligence, or project management roles
  • Strong technical aptitude and business acumen with demonstrated experience leveraging data from a multitude of sources to solve complex problems, tell a story and impact the overarching strategy
  • Expertise in integration architecture patterns to send data from SAP to non-SAP systems
  • Provides outstanding customer service skills to direct and indirect customers
  • Demonstrated ability to effectively communicate with all levels of the organization
  • Solves highly complex, politically sensitive problems across teams
  • Build and maintain strong relationships to achieve results through collaborative working
  • Strong financial management experience with proven ability to manage annual budget
  • Strong team leadership and management skills with the ability to develop teams and cultivate talent
  • Experience in the CPG industry and an Expert in SAP BI 
  • Experience with SAP Business Planning and Consolidations, Standard and/or Embedded
  • Expertise in large-scale project delivery, leveraging Agile and DevOps
  • Experience in at least 2-3 value streams, including Forecast to Schedule, Order to Cash, Procure to Pay, Make to Deploy, Financial Planning & Analytics and Record to Report
  • Knowledge and experience in the following tools, disciplines and processes including SAP Solman 7+, MS Azure DevOps, Quality Centre and MS Project
  • Global perspective with the ability to quickly understand individual local requirements

19. BS in Software Engineering with 4 years of Experience

  • Experience with statistical packages such as PYTHON, R, MATLAB, SPSS, SAS, or Stata
  • Experience with source control tools such as GitHub and related development processes
  • Experience with workflow scheduling tools like Airflow
  • Able to quickly pick up new programming languages, technologies, and frameworks
  • Deep expertise in data warehousing, dimensional modeling and the ability to bring best practices regarding data management, ETL, API integrations, and data governance
  • Experience executing quantitative analysis to drive and validate analytics solution requirements
  • Expert-level proficiency in SQL
  • Deep experience analyzing large structured and unstructured datasets
  • Solid understanding of various database management systems like Oracle, MySQL, Teradata, Netezza, SQL Server, or DB2
  • In-depth experience documenting business requirements, processes, and analytics solutions
  • Ability to develop structured analysis supporting data architecture or product strategy decisions
  • Experience communicating analysis results and subsequent impact to technical/non-technical audiences in both verbal and written form
  • Ability to define data architecture strategies to support data visualization tools, such as tabular models and data cubes
  • Experience translating business objectives and questions into data architecture, KPIs, and reporting
  • Understanding of best design and implementation practices in data visualization tools such as Tableau, IBM Cognos, MicroStrategy, PowerBI or QlikView
  • Understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and XP Programming, and how they’re applied in the workplace culture
  • Proficiency with cloud environments such as Microsoft Azure, Google Cloud, and AWS
  • Experience with Big Data and NoSQL technologies like Hadoop, HBase, Spark, Impala, Cassandra, Storm, Flume, Pig, or Hive

20. BA in Communication Studies with 2 years of Experience

  • Analytical thinking and statistical skills
  • Knowledge of Power BI or Tableau with an aptitude to improve
  • Advanced knowledge of Microsoft Excel
  • Good communication and problem-solving skills
  • Ability to adapt to new tools and programming languages and work in a continuously changing environment
  • Experience with database query languages (SQL and/or Kusto)
  • Experience with Python or R for data analytics
  • Experience with the distributed version control system Git
  • Experience working within an Agile framework
  • Experience prioritizing and handling customer requests
  • Understanding of data visualization best practices
  • Ability to comply with the EH&S Policy and applicable regulatory and company EH&S rules and requirements
  • Ability to report to supervision conditions or practices that are either unsafe or that may adversely impact the environment, to ensure prompt resolution of potential hazards.
  • Ability to attend a scheduled EH&S training program
  • Ability to support the organization's efforts to meet or exceed EH&S goals and plans.
  • Ability to recommend improved EH&S practices

21. BS in Cybersecurity with 3 years of Experience

  • Experience demonstrating processes and application functionality to broad audiences
  • Able to work independently and be self-motivated to resolve and report issues
  • Strong written and verbal communication skills
  • Experience with facilitating small to large groups through challenging discussions
  • Ability to manage multiple priorities simultaneously
  • Experience with process development and improvement, including the ability to identify multiple options and recommend the best solution with the highest process improvement impact
  • Experience with Reporting platforms (BW, Tableau, Power, or Spotfire)
  • Experience in data pre-processing using SQL and /or tools like Alteryx
  • Experience with Information Management related platforms (Oracle, Informatica Axon, Apigee, MES, etc)
  • Data Analysis skillset and applying advanced analytical techniques to solve business problems
  • Expertise and comfort with large and imperfect data, balancing qualitative and quantitative analysis.
  • Experience with key Complaint Management technologies (SAP CRM, IQVIA, etc.)
  • Experience developing requirements and functional designs for global technology solutions
  • Experience designing and deploying validated systems
  • Functional knowledge in Complaint Handling in the Medical Device or Life Sciences industry
  • Excellent leadership and teamwork skills
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