ANALYTICS SKILLS, EXPERIENCES, AND JOB REQUIREMENTS

Published: May 15, 2025 - The Analytics Professional plays a key role in uncovering data-driven opportunities to enhance business outcomes. This role requires the ability to design and implement analytical frameworks that support forecasting, performance measurement, and strategic planning. The individual ensures that data solutions are aligned with stakeholder needs and contribute to continuous improvement across departments.

Essential Hard and Soft Skills for a Analytics Resume
  • Data Analysis
  • Dashboard Reporting
  • Data Modeling
  • Tableau Automation
  • Budget Management
  • Statistical Modeling
  • SQL Analysis
  • Custom Reporting
  • Marketing Insights
  • Campaign Setup
  • Stakeholder Communication
  • Process Improvement
  • Team Leadership
  • Technical Translation
  • Planning Coordination
  • Project Execution
  • Cross-Functional Collaboration
  • Executive Communication
  • Strategy Definition
  • Insight Communication

Summary of Analytics Knowledge and Qualifications on Resume

1. BA in Business Analytics with 8 years of Experience

  • Experience in Logistics or Supply Chain data analysis and support
  • Excellent communication skills, both verbal and written
  • Self-starter with strong work ethic and positive attitude
  • Advanced level proficiency in Microsoft Excel
  • Ability to write and update complex formulas, build macros, and present numerical data in visual formats such as charts and pivot tables
  • Intermediate level proficiency in Access
  • Ability to write and update existing queries, develop/import data from external sources
  • Functional knowledge of relational databases and SQL
  • Enthusiasm for learning new platforms with the ability to self-teach and learn on the go
  • Experience dealing with ambiguous situations and the ability to prioritize and produce consistent results
  • Understands the importance of accuracy while meeting tight deadlines
  • Willingness to ask questions and seek opportunities to grow professionally
  • Leadership and communication skills with the ability to work with a diverse team and move projects forward independently
  • Prior Oracle Transportation Management (OTM) experience 
  • Solid understanding of Transportation and Supply Chain management

2. BA in Data Science with 3 years of Experience

  • Excellent understanding of industry practices
  • Strong proficiency with tools, systems, and procedures
  • Excellent planning/organizational skills and techniques
  • Excellent independent decision-making, analysis and problem-solving skills
  • Outstanding verbal and written communication skills
  • Excellent presentation and public speaking skills
  • Excellent interpersonal skills
  • Excellent conflict resolution skills and ability to deliver difficult messages
  • Ability to build partnerships at all levels within the company
  • Good negotiating skills and able to resolve complex issues in an effective way
  • Project management, consultative skills and ability to manage a budget
  • Ability to cultivate and develop lasting internal and external customer relations
  • Proficient in Microsoft Power BI, including new development and management of existing models and/or proficient in SQL server development and management
  • Advanced Microsoft Excel skills as well as the ability to work with various databases
  • Working experience with Microsoft Access 

3. BA in Statistics with 5 years of Experience

  • Experienced leader in building commercial Analytical solutions within a pharmaceutical or commercial biopharmaceutical organization
  • Must have a diverse and broad set of expertise on commercial Sales Analytics solutions, Incentive compensation process and Data acquisition strategies
  • Deep understanding of commercial data sets like IQVIA DDD, XPO, XPD, LAAD, SHAPTD, Specialty pharmacy, copay, patient assistance programs data, Hub
  • Demonstrates strong technical understanding of the Data warehousing process, develops methodologies, and cloud technologies
  • Demonstrates a strong understanding of the current and future technology architecture, including the interoperability of technologies, within the areas of Data warehousing, Analytics and Cloud technologies
  • Able to support and build Field analytics to drive sales performance
  • Able to improve and build automated processes for IC analytics and support the IC team for the Field Rep's goal and performance evaluation
  • Able to drive operational efficiencies across data, analytics and Sales analytics project initiatives
  • Experience with the following technologies - Cloud architecture and services, Integration technologies like Informatica, Dell Boomi, etc.
  • Working experience in visualization and reporting technologies like Tableau, MicroStrategy
  • Experience in managing Salesforce app development
  • AI/ML project and management experience

4. BA in Computer Science with 4 years of Experience

  • Work experience and demonstrated ability to perform analytics
  • Excellent critical thinking skills 
  • Fundamental knowledge of data modeling and database design best practices
  • Fundamental knowledge of Tableau and data visualization best practices
  • Fundamental knowledge of predictive modeling and machine learning
  • Demonstrated ability to learn and understand various applications and data analysis languages and tools
  • Computer programming experience in any of the following languages - SAS, SQL, Python, R, Visual Basic
  • Experience with automation software (e.g., UIPath, Automation Anywhere)
  • Independent and highly self-motivated, with the ability to effectively manage time
  • Strong written and oral communication skills
  • Must be able to work in teams and independently to manage and execute multiple tasks in a dynamic environment
  • Mastery of Microsoft Office products (Word, Excel, Access, PowerPoint 
  • Must have advanced Excel skills 

5. BA in Information Systems with 6 years of Experience

  • Strong business communication skills (including written and oral)
  • Experience with Java or Python development for modern data engineering
  • Strong background in relational data models
  • Exposure in ETL tools, Scala and Kafka
  • Strong problem-solving and analytical thinking skills
  • Full lifecycle development experience
  • Implementation experience within the Hadoop ecosystem
  • Industry experience such as financial services, insurance, retail, healthcare, life sciences, communications
  • Experience in developing and deploying distributed computing Big Data applications using Open Source frameworks such as Apache Spark
  • Working knowledge of application development using Hadoop components (HDFS, HBase, Hive, Sqoop, Flume, etc.)
  • Previous exposure to data analytics and data mining tools/applications such as Tableau, QlikSense /QlikView, R or SAS
  • Previous working with SQL, Relational Database Management Systems (e.g., SQL Server, Oracle)

6. BA in Computer Science with 4 years of Experience

  • Prior experience in a role requiring collaboration across multiple functions within a large, complex organization
  • Strong business acumen, ability to think strategically and build effective business partnerships
  • Exceptional analytical, critical thinking, quantitative reasoning, and problem-solving skills with high attention to detail and accuracy
  • Able to use storytelling techniques to effectively communicate analytical results and support business decisions
  • Experience working with Scrum Agile methodology to deliver solutions
  • Strong functional understanding of data and analytics architecture, platforms, and frameworks, including data ingestion, data pipelines (ETL), and business intelligence/analytics reporting and visualizations
  • Strong presentation skills and comfortable with presenting to all levels of management
  • Solid planning, priority setting, and project management skills with experience managing multiple projects concurrently
  • Able to be a self-starter who adapts well to change in a fast-paced, dynamic workplace and works well in cross-functional teams/projects
  • Excellent verbal/written communication skills, including communicating technical issues to non-technical audiences
  • Able to build deep client relationships, network and be a thought partner

7. BA in Economics with 7 years of Experience

  • Proficient understanding of underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)
  • Experience in the deployment of a large distributed Big Data Application
  • Management of the Hadoop cluster, with all included services 
  • Ability to solve any ongoing issues with operating the cluster
  • Experience designing, building and operating cloud services in IT, Systems Integrator or Service Provider
  • Proficiency with Hadoop, MapReduce using Python, and HDFS
  • Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  • Experience with the integration of data from multiple data sources
  • Experience with NoSQL databases, such as HBase, Cassandra, and MongoDB
  • Strong knowledge of various ETL techniques and frameworks, such as Flume
  • Experience with various messaging systems, such as Kafka
  • Experience with Big Data Client toolkits, such as Mahout, SparkML, or H2O
  • Good understanding of Lambda Architecture

8. BA in Computational Mathematics with 3 years of Experience

  • Experience with SAP Business Warehouse (various versions, including BW/4HANA), SAP HANA DW or Data Warehouse Cloud
  • Experience or training with SAP Analytics Cloud
  • Deep knowledge of the SAP roadmaps and upcoming innovations
  • Extensive knowledge of functional areas and data structures
  • Good knowledge of Embedded Analytics
  • Management of requirements gathering and design workshops with both business and technical audiences
  • Awareness/experience of delivering solutions using non-SAP BI technologies (PowerBI, Tableau, Qlik, Looker, etc.)
  • Programming for SAP Analytics (ABAP, AMDP, SQL Script, CDS Views)
  • Able to manage workstreams or small project teams
  • Awareness/experience of Data Services / Data Intelligence

9. BA in Actuarial Science with 8 years of Experience

  • Overall experience in a hands-on data role
  • Expertise in data wrangling, including SQL and either Python or R
  • Business acumen, including the ability to translate business problems into technical logic
  • Experience standing up Looker from scratch
  • Strong familiarity with Event/Behavior analytics
  • Strong leadership and coaching skills
  • Deep understanding of ETL pipelines
  • History of cross-functional collaboration on mission-critical projects
  • Experience scaling business intelligence and self-service analytics, with a strong focus on decision-making
  • Able to communicate well with non-technical individuals, especially communicating complex results in an attainable fashion
  • Experience with code reviews and version control
  • Ability to look at the real world in terms of records and a database
  • Able to read data and see the real world in front of them
  • Ability to code in either Python, R, JavaScript, or Ruby

10. BA in Data Analytics with 4 years of Experience

  • Excellent knowledge of the Azure Platform and experience in developing cloud applications
  • Experience with Azure data and analytics-related services, such as Azure Blob Storage, Azure SQL DB/DW, Azure Data Factory, Azure Analysis Service
  • Experience with Azure resource group-level management
  • Experience with Azure security settings, security scans, and security tuning
  • Experience with Azure availability and performance monitoring
  • Understanding of the DevOps delivery model, including CI, CD, automated testing,
  • Familiarity with Microsoft DevOps tool (VSTS)
  • Excellent communication skills in written and verbal English
  • Ability to work in and with cross-functional distributed teams, including working across multiple time zones and providing remote support

11. BA in Information Technology with 3 years of Experience

  • Deep knowledge of commodities/energy credit risk exposure modelling concepts and credit pricing
  • Strong knowledge of Probability of Default (PD) / Loss Given Default (LGD) / Exposure at Default (EAD)/ PFE modelling
  • Experience in any of the following software development environments - Python / VBA / Java / C++/ C#/SQL
  • Must have fluency in English
  • Prior exposure to energy commodity trading, credit risk/quant roles 
  • Effective listening skills to understand business requirements
  • Team-working skills and a collaborative approach to sharing ideas and finding solutions
  • Comfort working with ambiguity, framing and solving problems in an iterative manner
  • Commercial experience using machine learning techniques 
  • Experience with using Numerix and Dataiku platforms

12. BA in Computer Engineering with 7 years of Experience

  • Marketing experience in a client-facing analytics/consultant role
  • Excellent project management skills and is highly organized
  • Understanding of marketing and the various metrics that come with it, with a particular focus on digital metrics
  • Experience with paid media, measurement, media planning and media mix modeling 
  • Strong grasp of paid offerings on major social networks, including ad units, objectives, targeting and campaign best practices
  • Experience with digital-focused tools, including Google Analytics, Demographics Pro, Pathmatics, Brandwatch, and Socialinsider
  • Experience with PR-related tools (i.e., Helixa, NewsWhip, Meltwater, TrendKite, MuckRack)
  • Expert in data manipulation and visualizations through the use of Tableau
  • Experience working with and creating databases and dashboards used to inform business decisions
  • Strong problem-solving, quantitative and analytical abilities
  • Working knowledge of data mining principles such as predictive analytics, mapping, and collective data from multiple data systems
  • Expert knowledge in Microsoft Office applications with specific experience in Excel (i.e., pivot tables, advanced functions, formulas, filtering, etc.)

13. BA in Business Intelligence with 3 years of Experience

  • Hands-on technical experience with Adobe Analytics on web and native mobile apps
  • Experience with enterprise-level e-commerce data
  • Experience with all features of Adobe Analytics including processing rules, classifications, Marketing Channels, eVars, props, success events, list vars and merchandised eVars
  • Passion for learning and understanding technical details of software capabilities and integrations with other tools and teams
  • Exceptional communication and presentation skills, with the ability to present and translate complex technical information to both executive, engineering and business/marketing partners
  • Exceptional track record at building relationships and partnering with internal clients on complex business problems to develop actionable recommendations
  • Proven expertise to influence people, process, and technology in a manner that enriches the customer experience and overall team performance
  • Ability to manage competing priorities and multitask to meet deadlines
  • Excellent customer service skills and the ability to resolve complaints, inquiries, and operational issues by influencing multiple stakeholders
  • Strong communication and presentation skills, particularly with executive and leadership teams

14. BA in Machine Learning with 5 years of Experience

  • Previous work as a data scientist or applied quantitative researcher
  • Industry hands-on experience deriving insights from people/employee data with Python or R
  • Experience applying Python frameworks, libraries (e.g., scikit-learn, Numpy, Scipy, Pandas) or equivalent
  • Experience applying and presenting statistical methods (e.g., regression, experimental design, etc.) and machine learning (e.g., GBM, clustering, random forest, etc.)
  • Experience with building and deploying predictive models
  • Experience applying natural language processing (NLP) and organizational network analysis (ONA) 
  • Ability to communicate technical details to the executive audience in a clear and concise manner
  • Experience in developing end-to-end analytic solutions, from ETL to model building, and deployment to model health/performance monitoring
  • Demonstrated track record of handling sensitive data and exercising proven discretion
  • Experience in the technology or financial industry

15. BA in Marketing Analytics with 4 years of Experience

  • Experience analyzing large datasets
  • Demonstrated knowledge or advanced business analytics and data mining solutions
  • Solid understanding of multiple business cycles (Accounts Receivable/ Payables, Fixed Assets, Supply Chain, Inventory, etc.)
  • Experience designing interactive visual interfaces (such as Tableau, PowerBI, QlikView)
  • Detailed understanding of tools to do data ETL (Extract, Transform and Load), particularly Alteryx
  • Experience analyzing or managing accounting, financial or transactional data
  • Excellent verbal and written communication skills 
  • Demonstrable evidence of effective team leadership, client relationship development and engagement management in a client service setting
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Strong working knowledge of relational databases (SQL Server 2014 and 2017, Microsoft Access, OLAP or other proprietary software)
  • Experience with R and/or Python

16. BA in Econometrics with 2 years of Experience

  • Hands-on S4HANA, Embedded Analytics, SAP BW, SAP Business Objects and SAP Analytics Cloud
  • Expertise in S4HANA reporting artifacts such as CDS views, Fiori Apps, Eclipse Studio
  • Expertise in Enterprise HANA artifacts such as HANA Studio, Calc Views in XSA WebIDE
  • Demonstrated ability to effectively communicate with all levels of the organization
  • Ability to work flexible hours based on varying business requirements
  • Able to solve highly complex problems within their work team
  • Strong influencing, facilitating, and consulting skills in working with stakeholders at all levels in the organization and across departments
  • Ability to quickly adapt to changes in timelines and sequences
  • Adaptability and flexibility, including the ability to manage deadline pressure, ambiguity and change
  • Experience in SAFe methodology

17. BA in Supply Chain Analytics with 4 years of Experience

  • Strong development/management skills in R Shiny or similar
  • Experience in coding in Python and/or R
  • Knowledge of Streamlit or Dash
  • Ability to solve complex problems
  • Affinity to create data products that can involve AI to solve business problems
  • Experience with the Microsoft Power Platforms (PowerApps, Power BI and Power Automate)
  • Experience with Azure, GIT and data science knowledge 
  • Good understanding of UI/UX principles
  • Growth mindset, eagerness to learn and passion for data
  • Excellent communication skills and stakeholder engagement
  • Strong business acumen and familiarity with Agile ways of working
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