DATA OPERATIONS MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 4, 2024 - The Data Operations Manager sets up, transfers, and integrates healthcare datasets such as member eligibility and medical claims, the Data Operations Manager excels in creating scalable ETL solutions and conducting initial quality assurance checks using SQL. This role requires effective communication with diverse stakeholders and a keen ability to manage multiple projects and processes efficiently in a dynamic environment. With advanced skills in Excel and CRM systems, the manager demonstrates meticulous attention to detail, strong analytical abilities, and excellent interpersonal skills, ensuring timely project execution and data accuracy.
Essential Hard and Soft Skills for a Standout Data Operations Manager Resume
- Data Management
- SQL Proficiency
- Data Analytics
- Database Administration
- ETL Processes
- Data Warehousing
- Business Intelligence Tools
- Data Governance
- Data Quality Control
- Cloud Computing
- Leadership
- Problem-Solving
- Communication
- Decision-Making
- Time Management
- Adaptability
- Critical Thinking
- Team Collaboration
- Attention to Detail
- Conflict Resolution
Summary of Data Operations Manager Knowledge and Qualifications on Resume
1. BS in Data Science with 7 years of Experience
- Demonstrated experience managing high-volume data processing
- Knowledge of Real estate/mortgage industry and data processing
- Working knowledge of ETL platforms and SQL is a must
- Working knowledge of multiple platforms, databases, technologies, and products is a must
- Exceptional written, oral, and presentation skills
- Emphasis on team building and development of team members
- Strong focus on risk mitigation and continual process improvement
- Ability to build business relationships and work well in a matrixed environment
- Ability to meet deadlines and lead teams, in a fast-paced environment
- Technical skills such as SQL, Python, or other programming experience
- Experience in training and development in a technical role
2. BA in Business Administration with 4 years of Experience
- Advanced computer and programming skills
- Advanced knowledge of report generation and data integrity management
- Advanced proficiency in Microsoft Excel and Access
- Proven understanding of database relationships
- Graphic development/presentation skills
- Knowledge of SSRS
- Critical listening and thinking skills
- Decision-making/problem-solving skills
- Proven understanding of database relationships
- Communication skills both written and verbal
- Ability to work independently and within a team environment
3. BS in Information Systems with 6 years of Experience
- Knowledge of managed care preferred
- Knowledge of healthcare data coding such as CPT-4, HCPCS, ICD-9, ICD-10, DRG and Revenue Codes
- SSIS, SAS, or PowerBI experience preferred
- Data analysis and trending skills
- Demonstrated understanding of claims operations specifically related to managed care preferred
- Strong written and verbal communication skills
- Strong interpersonal skills and a high level of professionalism
- Effective problem-solving skills with attention to detail
- Ability to work independently and within a team environment
- Good understanding of security principles, microservices, API management, cost and usage management of cloud-based data platforms.
- Strive to inject independent thinking, check biases, and promote action and decision-making.
4. BA in Economics with 5 years of Experience
- Experience leading the setup, transfer, and integration of a variety of healthcare datasets (e.g., member eligibility, medical and pharmacy claims data)
- Ability to interface and communicate effectively internally and externally with both technical and non-technical stakeholders
- Highly skilled in SQL (or other programming language) with direct experience performing initial QA on data files to ensure accuracy
- Familiarity with the design and implementation of scalable ETL solutions in the healthcare sector
- Accountable, proactive, and thoughtful with high attention to detail and strategic problem-solving skills
- Ability to learn quickly and dive deep into new problems and fields
- Strong People, Project, and Process Management skills
- Good research and writing skills
- Advanced Excel skills and experience with online data systems like CRM and databases
- Time management skills with the ability to meet deadlines
- Excellent interpersonal and communication skills
- Ability to work across multiple teams in a fast-paced environment with competing timelines
- Strong data analysis skills.
5. BS in Data Analytics with 6 years of Experience
- Experience with SQL, AWS experience
- Leadership in managing a data operations team in a global setting
- Experience with managing ETL, and data lake in a SaaS company
- History of working with cloud-based data platforms.
- Experience building/supporting always-on production data platforms
- Experience in data governance processes in a data warehousing and ETL and business intelligence environment
- Monitoring systems, databases, and ETL pipeline for proper operation and performance
- Expertise in establishing standard processes around data pipeline for diagnosing issues, tracking status, and escalating issues within and outside the group.
- Tableau, Power BI, or some other Business Insights systems
- Experience building and delivering high-quality data systems using tools from the Hadoop or Spark ecosystem, Redshift, Snowflake
- Advanced knowledge of securities, product and client data
- Experienced in data operations approaches, and quality practices in large financial organization(s)
6. BS in Computer Science with 5 years of Experience
- Understanding of how to facilitate data discussions with stakeholders who may not be as familiar with data processes
- Understanding of the Salesforce Sales Cloud Data Model
- Experience managing work for multiple teams/stakeholders/team members
- An ability to identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team
- Expertise in explaining ambiguous problems succinctly and clearly
- Experience working with teams across multiple departments and time zones
- Familiarity working with large data sets (100K rows+)
- Experience with LucidChart, Asana, Smartsheets, Alteryx nice to have
- Experience in the digital marketing field, with an emphasis on DSP or Programmatic
- Experience with a coding language (Python, R, SQL, etc.)
- Familiar with various tools such as Excel and Tableau
- Experience in healthcare and working with health-related data sets
7. BS in Operations Management with 6 years of Experience
- SQL server experience including database management, ETL, data modeling, data warehousing, and reporting
- Experience with business intelligence tools (e.g., Power BI, Tableau, Qlik Sense), and reporting via dashboards and scorecards
- Experience in using HEDIS/CMS performance measures, analyzing and interpreting underlying data and summary rates,
- Experience in identifying gaps and opportunities in trends in member-level data, acquiring new data sources, and regulatory reporting for a managed care/health plan organization
- Experience in planning, participating, and managing technical/complex multi-faceted projects from beginning to end.
- Knowledge of NCQA HEDIS Supplemental and Administrative data processes and source requirements
- Experience working with and analyzing large volumes of data
- Experience requirement gathering in a consultation or business analyst capacity
- Demonstrable experience in business process re-engineering and in quality management techniques
- Strong capability with MS Excel and advanced SQL (essential)
- Experience in using Operations systems (preferably SAP)
8. BA in Statistics with 5 years of Experience
- Strong skills in SQL and Oracle development and familiarity with ETL tool and concept
- Skills in cloud-based data technology (Redshift, RDS, S3 and DMS)
- Ability to complete milestones and work toward multiple deadlines simultaneously
- Excellent multitasking skills and task management strategies
- Experience in the Insurance industry
- Experience in tech and data-oriented products
- Experience with visual data
- Experience with Python and SQL
- Exceptional organizational skills
- Outstanding troubleshooting, analytical, and problem-solving abilities
- Ability to collaborate cross-functionally in a fast-paced environment.
- Experience within the financial services industry
- Experience managing operational teams