DATA OPERATIONS ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 4, 2024 - The Data Operations Analyst experienced in data engineering, including ETL processes and data warehousing, with excellent SQL skills for troubleshooting, optimizing, and supporting the Data Warehouse/BI environment. Proficient in Python scripting and familiar with Tableau and Cloud Data Warehouses, demonstrating the ability to maintain high productivity levels with minimal supervision while quickly learning new technologies. Capable of working in a customer-facing role with strong written and verbal communication skills, effectively engaging both technical and non-technical stakeholders, and skilled in data quality and validation processes within the CRE domain.
Essential Hard and Soft Skills for a Standout Data Operations Analyst Resume
- Data Analysis
- SQL
- Data Visualization
- Data Warehousing
- ETL Processes
- Data Quality Management
- Statistical Analysis
- Python/R Programming
- Business Intelligence Tools
- Database Management Systems.
- Communication
- Problem Solving
- Attention to Detail
- Teamwork
- Adaptability
- Time Management
- Critical Thinking
- Analytical Mindset
- Initiative
- Conflict Resolution.
Summary of Data Operations Analyst Knowledge and Qualifications on Resume
1. BS in Data Science with 2 years of experience
- Experience working in a fast-paced and dynamic environment with a constantly changing workload comprising short-term, long-term, and ad hoc projects
- Experience in data/business analysis, data science, engineering, or related reporting/analytics
- Experience with Healthcare or government health program (e.g., Medicare/Medicaid)
- Experience in a customer-facing role
- Experience in programming languages (e.g., Python / R), data visualization tools (e.g., Looker, Mode, Tableau)
- Experience with big data or a high-growth company
- Experience working with database tools such as Redshift and MongoDB
- Professional experience working with SQL
- Experience with JSON
- Experience with Python
- Experience with Mongo
2. BA in Business Administration with 4 years of experience
- Knowledge of RDBMS-based solutions within a structured environment
- Experienced in the full software development lifecycle, from requirements gathering through to implementation
- Good understanding of business systems and how they interface with / feed into functional / business unit infrastructure
- Excellent analytical and problem-solving skills and attention to detail
- Good working knowledge of all Microsoft Office applications, including Excel
- Able to prioritize workload in line with tight deadlines and work effectively under pressure
- Excellent team player with the ability to work closely with others to deliver results
- Ability to communicate effectively with anyone in any environment, e.g. able to translate complex/technical issues to meet the audience's competency level
- Ability to develop reports, tools, and data infrastructures to support data analysis and initiatives
- Strong business acumen, management, analytical and problem-solving skills
3. BS in Computer Science with 3 years of experience
- Experience with data engineering including ETL and data warehousing.
- Excellent SQL skills for both troubleshooting, optimizing and providing support of the Data warehouse/BI environment
- Experience with Python script writing
- Familiarity with Tableau and Cloud Data Warehouse.
- Ability to maintain high levels of productivity with minimal supervision
- Ability and desire to quickly learn new technologies and tools
- Ability to work in a customer-facing role, with strong written and verbal communication skills
- Ability to listen, show empathy and also be able to converse with both internal and external technical and non-technical stakeholders
- Experience with data quality and validation processes in the CRE domain
- Knowledge of project management tools such as JIRA
- Proficiency in Google Suite Applications (i.e. Google Sheets, Google Slides, etc) and BI Tools (i.e. Looker)
4. BA in Information Technology with 5 years of experience
- Experience with PL SQL and SQL servers.
- Experience designing and building complete ETL processes
- Experience in the identification of data quality
- Experience providing support to end-users in a cooperative and friendly manner.
- Ability to manage multiple projects and work with stakeholders to understand deliverables and priorities.
- Strong collaboration with management, peers, and external teams
- Excellent communication/interpersonal skills
- Experience coordinating ETL work with an onshore/offshore vendor team.
- Experience mentoring and leading junior developers, especially in an onshore/offshore model.
- Flexibility to manage work schedule to support onshore/offshore model.
- Knowledge to determine solutions and solve complex problems.
- Ability to create and maintain documentation (ETL designs, technical specs, test cases, test results, project status, deployment plans, etc.)
5. BS in Statistics with 6 years of experience
- Experience in managing data operations for cloud data warehouses ideally with GCP exposure but similar toolset experience with other cloud vendors (AWS/Azure)
- Experience with Cloud Data Orchestration tooling i.e. Google Cloud Composer
- Experience managing the promotion of data pipelines into production state (eg Gitlab)
- Evidence of driving efficiency in data organisations through effective automation strategies
- Experience working with Agile or other rapid application development methods
- Ability to self-direct and take on broad projects from beginning to end.
- Knowledge of data security and privacy regulations and practices.
- Experience working with infrastructure as code environment (eg terraform)
- Experience working in distributed team, evidence of effective collaboration with on-shore and off-shore colleagues.
- Experience with Grocery Retail / Ecommerce data
- Excellent teamwork skills, flexibility, and ability to handle multiple concurrent tasks.
6. BA in Economics with 4 years of experience
- Advanced analytics skills (i.e. SQL, Spreadsheets, etc)
- Exceptional attention to detail and organization, with strong time management and project management skills
- Data-driven mindset and decision-making
- Strong verbal and written communication skills
- Experience working in a fast-paced corporate environment, preferably within the CRE industry
- Experience in small business or FinTech lending operations with portfolio management, special servicing, and compliance exposure
- Experienced using SQL to query, analyze and present data
- Ability to work in a fast-paced and quickly changing environment
- Strong communication skills with the ability to simply Client out the conclusions and reasons for each decision
- Ability to constantly focus on the process and to develop and implement operational changes in order to improve efficiency and limit risk throughout the underwriting process
- Excellent motivational abilities, willingness to teach and coach, and ability to learn quickly
- Ability to work cross-functionally across multiple teams including compliance, risk, product, and engineering, and manage projects from start to finish
7. BS in Data Analytics with 3 years of experience
- Experience in the pension or insurance industry
- Experience in working with large datasets
- Strong data manipulation skills, particularly with Excel, but experience with other programs like Microsoft Access and R is also beneficial
- Good organizational skills, with the ability to manage many concurrent deliverables
- Dynamic, motivated, and driven, with a keen interest and desire to learn and develop
- Understanding of the legislative framework for Canadian pension plans
- Technical ability to follow processes and very good attention to detail
- Eagerness to enhance, refine and continuously improve processes
- Strong written and verbal communication skills
- Hands-on experience with SQL
- Strong research skills with attention to detail