DATA ANALYTICS ASSOCIATE SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 3, 2024 – The Data Analytics Associate has experience in data analytics across industry, academia, and financial services, showcasing strong proficiency in SQL (preferably T-SQL) and reporting tools such as PowerBI, SSRS, and Tableau. This role requires advanced skills in R and/or Python, along with a solid understanding of data analytics applications in a business context and the banking regulatory environment. The associate possesses excellent analytical and problem-solving abilities, along with effective communication skills to engage with senior management and stakeholders while maintaining a commitment to professionalism and integrity.

Essential Hard and Soft Skills for a Standout Data Analytics Associate Resume
  • Data Analysis
  • Statistical Software
  • SQL
  • Data Visualization
  • Data Cleaning
  • Machine Learning
  • Excel
  • Big Data
  • A/B Testing
  • Data Mining
  • Critical Thinking
  • Communication
  • Problem-Solving
  • Attention to Detail
  • Teamwork
  • Adaptability
  • Time Management
  • Curiosity
  • Interpersonal Skills
  • Analytical Mindset

Summary of Data Analytics Associate Knowledge and Qualifications on Resume

1. BS in Data Science with 2 years of Experience

  • Relevant professional working experience
  • Expert SAS programming and SQL querying skills
  • Experience working with CMS data and/or VRDC
  • Passion for making a difference in healthcare
  • Solid understanding of Medical/Rx Claims, Clinical Data, and Eligibility
  • Experience with clinical coding systems including ICD9/10 diagnosis codes, ICD9/10 procedure codes, CPT codes, revenue codes, provider NPI codes, NDC Rx codes
  • Strong analytical problem-solving skills
  • Ability to work independently and be a self-starter in a dynamic, fast-paced environment
  • Strong written and verbal communication skills
  • Must have a data-driven mindset with a passion for analysis

2. BS in Economics with 6 years of Experience

  • Strong organizational skills, attention to detail, and ability to manage multiple projects with tight deadlines
  • Superb analytical skills, persistence in problem-solving, and ability to learn quickly and independently
  • Excellent written and oral communication skills
  • Ability to correctly read and interpret financial statements such as 10K and 10Q, US GAAP, IFRS, and other regional accounting principles
  • Experience working with AWS (Glue, Athena)
  • Proficiency in SQL (SQL Server, PostgreSQL, MySQL)
  • Experience with Data Catalog tools (Collibra)
  • Proficiency in a statistical package (R), and a scripting language (Python)
  • Proficiency in MS Office, especially MS Excel
  • Exposure to third-party BI Tools including Tableau, Qlik, Looker, R Shiny
  • Experience in data modeling and query optimization

3. BS in Computer Science with 5 years of Experience

  • Relevant experience in data analytics roles within industry, academia, and/or relevant financial services. 
  • Experience working in data analytics/data science, statistical consulting/applied research roles, business intelligence, or data-focused risk analysis within the 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, preferably 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 visualization libraries
  • Knowledge of or willingness to acquire an understanding of the broader banking regulatory environment.
  • Good analytical, problem solving and organizational skills as well as an ability to manage multiple requests and prioritize accordingly.
  • Ability to critically assess complex/once-off issues and recommend/implement solutions.
  • Experience or demonstrable interest in text analysis, network analysis, etc is desirable 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, with strong stakeholder focus.
  • Must act professionally, ethically and with integrity.

4. BS in Information Technology with 7 years of Experience

  • Experience in the UK Financial Services industry – ideally in Asset and Wealth Management
  • Understanding relevant Financial Services regulation (e.g. ESG, MIFID, EMIR, AML, Dodd-Frank, FATCA, and Solvency)
  • Understanding of the Business Value Chain
  • Experience in building Artificial Intelligence and Machine learning models e.g. Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice and Image recognition), Geospatial Prediction, Multi-layer Perceptron and other Neural Networks.
  • Artificial Intelligence/Voice Technology experience e.g. IBM Watson, Amazon Echo, Google Home, Microsoft Cortana, Apple Siri.
  • Experience in multiple tools/languages/frameworks within Big Data (Hadoop, Spark, Hive, MongoDB, Neo4j, HBase, Cassandra)
  • Understanding of Artificial Intelligence and Cloud Platforms (e.g. Azure/IBM/Google)
  • Advanced data analytics, building models in Python, R, SAS programming languages and libraries
  • Experience in data analytics and visualization products such as D3, Power BI, Qlikview, Tableau
  • Strong SQL and data manipulation skills
  • Track record of managing data project delivery and project teams including the ability to meet deadlines, overcome challenges, manage stakeholder expectations and produce project deliverables
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