DATA ANALYTICS MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Reviewed under Editorial Standards by Lam Nguyen

Updated: Mai 18, 2025 - The Data Analytics Manager oversees the development of analytical products in supply chain/logistics and retail sectors, ensuring robust project management and technical expertise in code review and data troubleshooting. Utilizes Scrum and agile methodologies, proficient with Git, AWS, Tableau, and programming in R or Python, emphasizing strong communication and presentation abilities. Actively engages in data interrogation to identify and resolve underlying issues, enhancing decision-making processes.

Essential Hard and Soft Skills for a Standout Data Analytics Manager Resume
  • Data Modeling
  • Statistical Analysis
  • Machine Learning
  • SQL
  • Python
  • Tableau
  • Big Data Handling
  • AWS
  • Git
  • Agile Methodologies
  • Critical Thinking
  • Problem Solving
  • Effective Communication
  • Leadership
  • Adaptability
  • Team Collaboration
  • Attention to Detail
  • Decision Making
  • Project Management
  • Innovation

Summary of Data Analytics Manager Knowledge and Qualifications on Resume

1. BA in Computer Science with 5 Years of Experience

  • Experience with an emphasis on building data and analytical products. 
  • Supply chain/Logistics or Retail industry experience
  • Commitment to and hands-on experience in performing technical code reviews and data issue triage.
  • Strong project management capabilities to manage multiple project streams and complexity, propensity for thinking through projects in a structured way.
  • Working knowledge of Scrum and agile principles.
  • Experience with Git and Amazon Web Services strongly
  • Strong presentation skills, and excellent written and verbal communication skills.
  • Familiarity with Tableau, as well as data analysis/visualization packages in R or Python
  • Confident communicator, both verbally and in written communication.
  • Able to interrogate data outcomes to get to the root cause of issues and make recommendations for resolution.
  • Advanced level knowledge of MS O365 including office suite

2. BA in Statistics with 8 Years of Experience

  • Experience in BI, Analytics, Data Science roles (breadth of analytics experience a plus)
  • Expert in SQL/Presto, Python coding skills
  • Good in Tableau, PowerBI and building dashboards
  • Proficient in Excel and PPT
  • Strong analytical skills with the ability to collect, organize and analyse significant amount of information with attention to detail and accuracy
  • Knowledge of data models, data mining and segmentation techniques
  • Self-motivated and independent learner
  • Detail-oriented and efficient time manager who thrives in a dynamic working environment
  • Good in business communication
  • Retail banking, FinTech, Credit Bureau experience 

3. BA in Data Science with 9 Years of Experience

  • Experience in data engineering and/or B, building data pipelines and reporting solutions 
  • Proficiency in SQL, Python, and a data visualization tool, such as Power BI or Tableau
  • Working experience with Git or another version control tool, job scheduling tools, i.e., cron jobs and Jenkins, and UNIX
  • Strong ETL (Extract, Transform, Load) and Database Table Design, Cloud DevOps.
  • Azure (or another cloud) experience.
  • Problem solving and analysis skills with strong project management orientation.
  • Knowledge of the full SDLC (software development life cycle).
  • Excellent written and verbal communication skills in both technical and functional with the ability to communicate technical concepts to nontechnical audiences.
  • Experience developing and consuming REST web services, APIs (Application Programming Interface).

4. BA in Business Analytics with 5 Years of Experience

  • eCommerce, Marketing, Merchandising and/or Project management experience.
  • Excellent Excel and PowerPoint skills.
  • Customer Analytics, Marketing Analytics, and/or Financial Analysis
  • Strong interpersonal and presentation skills as well as demonstrated experience in fact-based analysis, including the ability to persuasively present insights and recommendations to senior management.
  • Strong strategic, analytical and critical thinking skills
  • Strong bias towards data-based decision making with the ability to break down complex problems and formulate plans.
  • Understanding of site merchandising, customer experience, sales and margin objectives.
  • Pro-active and self-motivated work style with proven ability to collaborate broadly with flexible, positive attitude to get results within a cross-functional team.
  • Ability to manage multiple projects and changing priorities with demonstrated track record of strong execution and experience partnering with technical teams to deliver results.
  • Knowledge of various data mining techniques, effective visualizations, and data presentation. 
  • Hands on experience with SQL and Tableau. 

5. BA in Information Systems with 5 Years of Experience

  • Experience in a data analysis and/or business intelligence role
  • Is intellectually curious and comfortable with ambiguity
  • Strong communicator, skilled data visualizer, and can easily synthesize data for presentations. 
  • Expert with SQL (we use Postgres and BigQuery) and can write complex queries (using subqueries, case statements, window functions, etc.) with ease
  • Can manipulate large datasets with ease, and is very comfortable leveraging advanced formulas
  • Has experience with business intelligence tools
  • Has experience with statistical modeling
  • Comfortable blending strong quantitative skills with a broad understanding of business objectives 

6. BA in Computer Science with 6 Years of Experience

  • Advanced knowledge in Analytics, Statistics, etc. Preferred in Statistics, Operations Research, Computer Science, Management, or related disciplines
  • Extensive and relevant work experience leading and growing a high-performing Analytics team
  • Experience in a management role
  • Experience in hands-on experience and knowledge of classic and modern ML and data science tools and techniques
  • A proven track record of using quantitative analysis to impact key decisions
  • Experience managing and developing a team, covering both individual development as well as overall team strategy and operations
  • A strong storyteller and ability to communicate effectively with managers and executives
  • Strong skills in SQL, Python or R
  • Data management/science certifications
  • Must be a self-starter with strong decision-making skills and ability to work under pressure
  • Able to interrogate data outcomes to get to the root cause of issues and make recommendations for resolution. 

7. BA in Statistics with 7 Years of Experience

  • Experience in data analytics/data science within a fast-paced environment
  • Proficient coding skills for analytics and data extraction (SQL, R, Python). 
  • Ability to perform advanced querying involving multiple tables and subqueries.
  • Strong and extensive experience in data visualization (Tableau, Power BI).
  • Experience working with and creating databases and dashboards to support client reporting.
  • Strong problem solving, quantitative, and analytical abilities.
  • Strong ability to plan and manage numerous processes, people, and projects simultaneously.
  • Excellent communication, collaboration, and delegation skills.
  • Eperience including P&C insurance experience
  • Expert in database management
  • Proficient in SQL query building and MSSQL Server tools

8. BA in Data Science with 6 Years of Experience

  • Analyst experience obtained through progressive analytical and operational work experience
  • Direct leadership experience
  • Experience with SQL and working with a relational database system, such as Microsoft SQL Server
  • Proven problem-solving and analytical abilities including pattern detection, root cause analysis, and issue resolution
  • Financial domain experience in a trading environment
  • Database/ETL experience
  • Experience with Python (and/or Java)
  • Ability to synthesize information and generalize the pattern
  • Advanced in English, both written and oral. 
  • Presentation skills, team player
  • Ability to work independently, with ambiguity, and adapt to changing work priorities
  • Track record of developing high quality analysis that has resulted in customer centric decisions that achieve business objectives

9. BA in Business Analytics with 6 Years of Experience

  • Strong financial, statistical, and analytical skill sets/acumen to make strategic recommendations
  • Strong skills in Tableau, Tableau Prep, Alteryx, and SQL to manage large data sets and work them into visualizations that are insightful and actionable.
  • Understanding of retail merchandising, category management, and merchandising processes
  • Strong background in strategic problem solving with demonstrable analytical skills
  • Strong communication skills translating complex analyses to non-technical audiences both verbally and in writing, storytelling
  • Proactive initiative, seeking out opportunities to learn new skills and put the ones already got to good use
  • Creativity, ability to come up with novel ideas to solve biggest problems
  • An aptitude for analytical work, like sniffing out clues in massive data sets or hunting down the key issues in a hugely complex problem
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • A willingness to work fluidly and respectfully with incredibly talented team
  • Experience in managing, developing, and leading others
  • Proven experience of using SAS or SQL

10. BA in Information Systems with 8 Years of Experience

  • Proven experience managing analytical projects and Teams, from conception and ideation, through to delivery, presentation and business outcome
  • Familiarity with common data analytical and science frameworks as well as techniques
  • Knowledge of commonly used data analytics, science and visualization platforms, tools and programming languages
  • Ability to communicate and present complex issues in simple and easy way
  • Passion to discover untapped opportunities for Clients and internal Team
  • Experience in analytics, preferably in a startup or tech/finance company
  • Experience in analytical and data visualization tools such as Datawind, Tableau, Google Analytics, etc.
  • Strong analytical and quantitative skills
  • Experience using data and metrics to test theories, confirm assumptions, and measure success
  • A passion for crypto and digital assets. 
  • Good business sense and logical thinking

11. BA in Computer Science with 4 Years of Experience

  • Knowledge of statistical data analysis methodologies and machine learning
  • Knowledge of pharmaceutical market data (IQVIA, Ultmarc, Claims data, Rx data, Promotion audit, etc) is a plus
  • Knowledge of pharmaceutical marketing
  • Logical thinking, hypothetical thinking
  • Skills documentation (MS PowerPoint, Word) and presentation skill
  • Learning based data analysis skill
  • Working on Data Management Platform and technologies such as Alteryx or Palantir Foundry
  • Fluency in English
  • Data analysis experiences and project management 
  • SQL, R, Python, Qlik, Tableau, Qlik or equivalent experience
  • Data governance and management experience or knowledge

12. BA in Statistics with 8 Years of Experience

  • Have a genuine passion for the science and opportunities found in data and analytics
  • The capability to enhance and mature the existing, technically first class, data, analytics, data lake, data warehouse capability
  • Provide thought leadership in the business usage of data and analytics 
  • Have in depth experience in Microsoft Azure technology stack
  • Able to work in a people-centric team and values
  • Technical experience in data warehousing and business intelligence
  • Experience in Microsoft BI technology stack, including SQL Server, SSAS Tabular, DAX and Power BI 
  • Experience in Azure cloud services, including Azure SQL Server, Azure Data Factory, Azure Analysis Services, Azure Data Lake, Databricks, Event Hub, Logic Apps, Stream Analytics, API Management
  • Knowledge of data protection and compliance with GDPR, CCPA, HIPAA, PCI & PII as related to data management and business intelligence

13. BA in Data Science with 10 Years of Experience

  • Experience in business operations with managing direct reports
  • Experience with a broad scope of digital tools: Analytics (e.g. Spotfire, Tableau, Looker, Qlik), Business Process Automation (e.g. Decisions, kissflow), Robotic Process Automation (e.g. UiPath, Automation Anywhere, Blue Prism), SQL Development, Application Programming Interfaces (APIs)
  • Experience with Enterprise Resource Planning (e.g. Oracle, SAP)
  • Must be able to communicate in a cross functional environment.
  • Must be comfortable with ever changing priorities and occasional fast turn around corrections to reports.
  • Ability to create and communicate requirements for analytic reports and process flow diagrams.
  • Experience in analytical workflow (Alteryx)
  • Technical understanding of common RDBMS systems (e.g. Teradata, Oracle)
  • Understanding of data modeling techniques and tools
  • Must have ability to deliver high-quality results under tight deadlines and be comfortable manipulating and summarizing large quantities of data
  • Solid communication skills, customer focus and necessary expertise in formal and informal testing techniques as well as quality measurement

14. BA in Business Analytics with 8 Years of Experience

  • Hands on technical expert with a wide range of knowledge across data governance, analytics, data staging for modelers, model implementation, new data pipelines, and documentation.
  • Must exhibit a thorough understanding of data structures, data manipulation, metadata, data security, and data quality management.
  • Solid understanding of banking businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of modeling data
  • Experience as a lead or key participant in data infrastructure related efforts
  • Understanding of Hadoop-related technologies & applications
  • Strong command of the SQL language & relational database knowledge
  • Strong knowledge of data structures, algorithms and big data tools (Spark, Hive, HDFS)
  • Strong design, coding, debugging and analytical skills, especially across the big data ecosystem
  • Advanced analytical thinking and problem-solving skills
  • Deep technical knowledge of data infrastructure practices and tools
  • Knowledge of version control tools and processes (e.g. Subversion, Git)

15. BA in Information Systems with 6 Years of Experience

  • Experience in a hands-on analytical role with a focus on analyzing business problems.
  • Strong analytical, conceptual, and problem-solving abilities.
  • Strong communication skills including experience in supporting and communicating data-driven analyses to various departments and stakeholders.
  • Proficient with creating, maintaining, and optimizing BI tools like Tableau workbooks.
  • Proficient in using SQL for data analysis and reporting.
  • Advanced Excel skills 
  • Must be proficient with advanced analytic functions such as vlookup, named ranges, pivot tables, formulas, etc.
  • Demonstrated ability to manage and prioritize workload and roadmaps.
  • Excellent business and product sense.
  • Experience working with Marketing, Product, and Sales teams
  • Experience managing other data analysts

16. BA in Computer Science with 9 Years of Experience

  • Proven record of technical proficiency, scientific creativity, and collaborations with cross-functional teams
  • Strong understanding of applied statistics (distributions, regression), image processing, or signal processing
  • Strong experience building dashboards using data visualization technologies (Tableau, Spotfire)
  • Experience deploying dashboard apps (Shiny, Dash, Flask)
  • Expertise in Python (pandas, numpy, scipy, sklearn, matplotlib) and R
  • Experience analyzing and manipulating large datasets
  • Experience with automation and deployment of analysis tools
  • Familiarity with heterogeneous data structures
  • Good code documentation and testing practices
  • Experience with version control (git) and team tools
  • Familiarity with statistical toolsets such as R, JMP, SAS

17. BA in Statistics with 7 Years of Experience

  • Experience leading analytically focused teams.
  • Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. 
  • Ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management.
  • Strong Business acumen and experience working with senior stakeholders on data strategic initiatives
  • Be well versed with advanced analytics techniques and still take a hands on approach
  • Experience with NLP 
  • Prior experience working in customer centric data roles such as operations, contact centers, chatbots
  • Strong statistical background
  • Experience with visualisation tools such as Tableau, Power BI, or similar is advantageous
  • Proven delivery of effective strategy building

18. BA in Data Science with 4 Years of Experience

  • Extensive experience communicating analysis results and subsequent impact to technical/non-technical audiences in both verbal and written form
  • 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
  • Working understanding of best design and implementation practices in data visualization tools such as Tableau, IBM Cognos, MicroStrategy, PowerBI, or QlikView
  • Working understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and XP Programming, and how they’re applied in 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
  • Excellent communicator
  • Experience as a Senior Financial Crime Analyst or Manager
  • Demonstrate leadership through knowledge in technical and business area.
  • Demonstrate deeper expertise in engineering methodologies/tools and drive best practices and work as a change agent to introduce recent development techniques and tools.

19. BA in Business Analytics with 7 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 process
  • 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
  • Demonstrated ability to develop structured analysis supporting data architecture or product strategy decisions
Editorial Process

Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.

Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.

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