DATA ANALYTICS MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: September 27, 2024 - 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