DATA SERVICES MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 7, 2024 – The Data Services Manager has extensive knowledge of various data types, including administrative, geospatial, survey, and social media data, while effectively linking major domains such as economics, education, and health. Strong communication skills enable collaboration with diverse teams and the ability to convey complex technical information to all personnel. The manager has advanced expertise in data management systems, statistical software, and an understanding of legal and ethical data use regulations to ensure compliance and best practices within the organization.

Essential Hard and Soft Skills for a Standout Data Services Manager Resume
  • Data Analysis
  • Database Management
  • Data Governance
  • ETL Processes
  • SQL Proficiency
  • Data Warehousing
  • Data Modeling
  • Reporting Tools
  • Cloud Computing
  • Data Privacy Compliance
  • Leadership
  • Communication
  • Problem-Solving
  • Team Collaboration
  • Strategic Thinking
  • Adaptability
  • Critical Thinking
  • Time Management
  • Attention to Detail
  • Customer Focus

Summary of Data Services Manager Knowledge and Qualifications on Resume

1. BS in Data Science with 10 years of Experience

  • Experience building large scalable and reliable enterprise technology platforms using Big Data open source technologies such as Hadoop, HBase, Spark, Kafka and Elastic Search/Solr.
  • Excellent verbal and written communication skills in English
  • Experience with high-capacity data ingests using Kafka in Hadoop or Spark
  • Experience delivering enterprise solutions, data-related benchmarking, performance analysis and tuning.
  • Team management working experience
  • Solid programming experience in languages like Java, Scala or Python or equivalent.
  • Passion for solving business problems with data.
  • Great sense of engineering/process/infrastructure trade-offs.
  • Experience working with building RESTful APIs
  • Experience with building real-time applications.
  • Strong analytical ability, good judgment with strategic and multidimensional thinker

2. BS in Information Technology with 8 years of Experience

  • Hands-on expertise with data engineering, ETL technologies and data warehousing
  • Proven track record of leading and scaling data teams, strong execution, and delivery skills
  • Strong in-depth experience in data modeling, dimensional modeling, Hadoop architecture and analytics.
  • Deep understanding of Informatica DEI and set of tools, SQL, and relational databases such as MS SQL Server and Oracle.
  • Experience with MS Azure Data Lake Storage (ADLS), Databricks or equivalent technology, MS Power BI or equivalent BI reporting technology
  • Experience with Informatica suite of products such as BDM/DEI, IDQ, MDM and IICS
  • Experience with Erwin data modeler or equivalent data modeling technology
  • Comfortable in multi-terabyte production environments and highly proficient with large data sets
  • Experience in creating business metadata repository and data catalog, using ERWin and creating ERD, and designing and working with complex data models 
  • Must be an analytical thinker who can translate business rules for information/data content needs into high-performance data models. 
  • Excellent communication (verbal and written) and professional skills

3. BS in Computer Science with 6 years of Experience

  • Possess and convey an in-depth understanding of Administrative data, geospatial data, survey data, social media data, text data, or instrument-collected data
  • Demonstrate the ability to work with others from diverse backgrounds.
  • Demonstrate effective communication and interpersonal skills.
  • Excellent working knowledge of Data repositories like ICPSR, Roper, Github or Dataverse
  • Linking across and within major domains of data (e.g. economic, education, health, demographic, international, criminal justice, environment, etc.)
  • Understanding of Data producers (e.g. Census, BLS, CDC, USGS, NOAA, Twitter, Academic, State)
  • Knowledge of Statistical software, such as R, Stata, SPSS, or Python, and Data collection software like Qualtrics.
  • Demonstrate knowledge of legal and ethical limitations on disclosure and/or restricted use data (e.g. HIPAA, CPHS, GDPR) and of relevant rules and regulations.
  • Advanced knowledge of data management systems, practices and standards.
  • Demonstrate ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
  • Demonstrate ability to communicate technical information to technical and non-technical personnel at various levels in the organization.