DATA STRATEGIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 9, 2024 – The Data Strategist with expertise in data management and real-world data roles effectively supports biopharma clients in research projects, leveraging strong project management skills in primary and secondary data collection. With a comprehensive understanding of decentralized data collection and data privacy dynamics, this role develops impactful research strategies. Proficient in negotiation and collaboration, the strategist excels in adapting to complex challenges while delivering insightful analytics and fostering communication across all organizational levels.

Essential Hard and Soft Skills for a Standout Data Strategist Resume
  • Data Analysis
  • Data Visualization
  • SQL Proficiency
  • Statistical Modeling
  • Data Mining
  • Machine Learning
  • Data Governance
  • ETL Processes
  • Data Warehousing
  • Predictive Analytics
  • Critical Thinking
  • Problem-Solving
  • Communication Skills
  • Team Collaboration
  • Adaptability
  • Creativity
  • Attention to Detail
  • Time Management
  • Strategic Thinking
  • Leadership Skills

Summary of Data Strategist Knowledge and Qualifications on Resume

1. BA in Economics with 8 years of Experience

  • Experience in business data analytics, database management, and workflow design.
  • Strong experience with SQL and stored procedures
  • Experience using data visualization products such as Power BI, including DAX and data modeling and/or Tableau CRM
  • Experience actively working with a variety of different data sources, including flat files, XML, XMD, JSON files and databases
  • Scripting knowledge in PowerShell, VBA, Batch files, etc.
  • Proven fluency with relational databases and related concepts; strong understanding of data structures and data modeling.
  • Ability to rapidly learn new technologies and proven experience working with Business Intelligence software, middleware, and ETL tools
  • Experience with Salesforce, Jitterbit, and/or SAP Business Objects
  • Superior working knowledge leveraging Microsoft Excel to transform data
  • Strong knowledge of financial services transactions, asset types and holdings
  • Ability to dig into data, surface actionable insights, and demonstrate sound judgment, decision-making skills and making process improvement recommendations.

2. BS in Data Science with 5 years of Experience

  • Healthcare-related industry dealing with data, strategy, and communications.
  • Proficiency in Excel, and Tableau
  • Ability to work well in a fast-paced and collaborative environment
  • Familiarity with HealthCare (Meditech) and containing insight into medical, and financial data elements and terminology
  • The ability to provide timely scheduled management reporting
  • Understand concepts of Data Governance
  • Possess outstanding organizational and time management skills
  • Possess excellent written communication skills and have experience putting together policies and procedures
  • Strong work ethic, hands-on, with a customer service mentality.
  • Motivated self-starter, with a bias towards action.

3. BS in Information Technology with 6 years of Experience

  • Hands-on experience with data management, performance measurement and stakeholder management.
  • Ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
  • Familiarity with the Wealth Management industry and related products & services
  • Ability to clean, transform and visualize large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image).
  • Proficient in one or more statistical programming languages (eg. Python, SQL, R)
  • Practical experience with data science tools and libraries (e.g. sci-kit-learn, Pandas, NumPy, Git, etc.)
  • Ability to use Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform). Comfortable with creating large queries.
  • Experience using visualization tools like Power BI, Tableau or QlikView.
  • Experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics, or Splunk.
  • Knowledgeable about common supervised and unsupervised Machine Learning approaches (eg. feature engineering, ensemble methods, classification, regression, clustering, NLP, time series forecasting, etc.)
  • Strong project management and communication skills (both oral and written).

4. BS in Computer Science with 7 years of Experience

  • Experience in a function such as Data Management, Epidemiology, Data Generation/Site Management, Project Management, Real World Data roles.
  • Experience in supporting solutions or consulting engagement with biopharma clients for real-world research projects
  • Demonstrate experience in the set-up of real-world research projects both primary and secondary data collection
  • Demonstrate knowledge and understanding of decentralized and direct-to-patient data collection
  • Demonstrate knowledge and understanding of patient and site-mediated EMR use in real-world research
  • Knowledge and understanding of data collection, data privacy and data quality dynamics in real-world research
  • Highly developed negotiation, consensus building & influencing skills, and the adaptability to respond to change quickly
  • Highly developed oral and written communication skills, strong presentation skills
  • Team player, the ability to effectively collaborate with all levels of the organization.
  • Ability to switch context rapidly between very different and complex issues, dependent on changing demands and priorities
  • A strong business acumen, and excel at developing and communicating analytics insights.
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