Here are some sample job advertisements for these types of roles…
Senior Data Governance Analyst
As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.
The team:
We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people’s lives all around the world, one job at a time.
The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed’s total compensation package for employees. Other rewards may include quarterly bonuses, Long Term Incentive Plan units, an open Paid Time Off policy, and many region-specific benefits.
New York City Metro Area Base Salary Range: 104,000 – 131,000 USD per year
Your job:
Indeed is seeking a Data Governance Analyst in the product engineering organization. You are the owner for data within a division of the company. You will work closely with the leadership of your business area to understand the data your team relies on, create data definitions, and outline how data can/should be used. Your team will rely on you to own the data they use to make decisions, perform analysis, and track progress. You will acquire a deep understanding of the business you support.
Data Governance Analysts at Indeed must be jacks of all trades: you will need analytical skills, technical knowledge of our data pipeline, and excellent communication skills. This is an ideal role for a talented analyst who wants to take their strategic planning and communication skills to the next level.
Responsibilities:
- You will be the owner and subject matter expert for critical data within a business unit at Indeed
- Work with a set of stakeholders to identify the data required to operate an area of the business. Define what it means to have complete and accurate data
- Partner with product and engineering teams to define requirements for capturing/logging new data; coordinate with product and engineering on new product lines to ensure all new data created is incorporated into our data governance model
- Drive consistency of data across front (web app, 3rd party tool) and back end systems (application to application)
- Communicate with internal teams at Indeed who rely on your data. Build consensus on definitions, calculations, and data sources
- Lead and maintain all data documentation and metadata management efforts for your business unit
- Serve as the internal expert for reports, data definitions, data quality, and data lineage for your business unit.
- Manage the migration of existing reports to use certified datasets
- Contribute to the development of training materials and deliver / coach 1: 1 or small groups on the new processes across the data governance lifecycle
- Work as part of a team of data governance analysts to ensure consistent data use across the entire company
About you:Qualifications:
- 2+ year industry experience as a business analyst, data analyst, or in a data quality management role
- 2+ year experience with SQL or equivalent database querying language
- Familiarity with computer programming languages such as Python, Java, or similar; comfortable reading, troubleshooting, and understanding or demonstrates strong aptitude to learn additional coding languages
- Exceptional stakeholder management skills
- Experience in leading cross-functional and / or cross-divisional projects
- Strong planning, tracking and presentation skills
- Attention to detail, and sense of urgency, and commitment to deadlines
- Strong organizational skills and demonstrated capacity to develop and implement practical strategies, plans and solutions to identified issues and problems.
- Strong analytical skills with the ability to identify quantify and effectively raise business risks associated with data quality or non-compliance.
- Bachelor’s degree in Information Science/Computer Science/Mathematics/Analytics or equivalent in a related field.
What we’d love to see (but isn’t required):
- Exposure to tools used to support data management, specifically business glossary and metadata management, data profiling, and data quality.
- Knowledge of data governance best practices, business and technology issues related to management of enterprise information assets, and approaches related to data protection.
- Experience validating datasets for accuracy (Data QA) and working with stakeholders to fix accuracy issues.
- Experience interpreting webapp logs, analytics tags and analytics debugging tools
Indeed provides a variety of benefits that help us focus on our mission of helping people get jobs.
View our bounty of perks: [1] http://indeedhi.re/IndeedBenefits
View Indeed’s Applicant Privacy Terms: [2] https://www.indeed.com/legal/applicant-privacy
- Analyze and profile various interrelated databases using SQL to obtain complete comprehension of the data
- Partner with key stakeholders to understand their requirements and subsequently define business rules
- Script data quality rules and collaborate with both business and technology teams to create, validate, and implement them
- Drive improvement in the quality of data through continuous monitoring and root cause analysis of identified issues
- Lead working groups with representation from Operations, IT, and Data Governance to support activities within the Data Quality function
- Triage issues and coordinate remediation efforts across work streams within defined Service Level Agreements (SLAs)
- Utilize a centralized issue tracking tool to capture and manage issues from end-to-end
- Develop and publish data quality and issue management metrics/dashboards that have been tailored to the target audience
- Bachelor’s degree from an accredited college or university with a concentration in Business, MIS, or Computer Science (or equivalent work experience)
- 5+ years of data quality, data analysis, data governance, or related experience in the financial services industry
- Expertise in data profiling and data quality rule design
- Intermediate to advanced knowledge of SQL, MS SQL Server, MS Office (Excel, PowerPoint, etc.)
- Solid facilitation skills with the ability to drive issues to closure
- Proven ability to lead working groups and effectively present concepts to a cross-functional audience, including upper management
- Experience creating reporting metrics and KPIs, with a background in data visualization being a plus
- Knowledge of banking products and related data is strongly preferred
- Familiarity with Data Governance, Data Quality, and Issue Management tools/platforms such as Collibra and Micro Focus Application Lifecycle Management is a plus
- Strong attention to detail and ability to multi-task in a dynamic environment with shifting priorities
- Ability to work both independently and within a collaborative team environment
- Strong analytical, organizational, interpersonal, and time management skills
- Excellent communication (written and verbal) and interpersonal skills
The Insurance Operations
Munich Re US is launching new insurance operations described as Munich Re Specialty Insurance(MRSI) that will unite the strengths and expertise of Munich Re’s specialty commercial teams in North America under a new management structure. This will allow for the development of an overarching sales strategy through which the specialty risk appetite and product offerings can be profitably optimized and expanded.
As a member of Munich Re’s US operations, we offer the financial strength and stability that comes with being part of the world’s preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive – from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products.
The Opportunity
Future focused and always one step ahead
The Data Governance Analyst will work with senior members of the team and stakeholders from business units throughout MRSI, to support development and implementation of a data governance program. Duties include documenting methods, responsibilities, processes to standardize, integrate, protect and store data; monitoring and reporting on data quality; maintaining business rules and data dictionaries; and engaging business leaders to steer the evolution the companies’ data assets .
A successful individual will have very baseline technical knowledge of data management concepts using both current and emerging best practices and technologies. They will enjoy spending a considerable amount of time rolling their sleeves to solve problems and an aversion to slow pace of execution and the same old ways of doing things.
This role reports to the Head of Data & Analytics as part of a function that is accountable and responsible for the reliable delivery of data and insights that the business needs to understand performance and adjust strategy and operate smoothly in the face of ambitious growth and changing technology and operating models internally, and a shifting risk and competitive landscape.
Specific Responsibilities Include:
- Partner with Data, Analytics and Digital Enablement team ensure consistency in business rules, data models and transformations process.
- actively rationalize data elements towards simplicity and shared meaning
- Monitor business practices framework for consistent, uniform data collection processes across the organization.
- Implementing quality assurance framework for higher confidence in data through validation standards and as well as complete documentation of data processes, rules and quality issues
- Increasing the scalability of the analytics and reporting work at a technical, business and organizational level through clear rules for changing data related processes;
- Advocate for standardization and control mechanisms with potential to optimize cost and efficiency by reducing long coordination processes and reusing processes and data
- Assess process against compliance guidelines and security requirements for internal and external data by monitoring and reviewing privacy policies;
- Clear and transparent communication to stakeholders and teams and developing training and utilization support
Qualifications
Successful candidates will be possess the following skills/capabilities:
- Technical: baseline knowledge of data concepts and/or experience in a data function, preferably in heavily regulated organizations, with complex operating structures and architectures, and diverse processes for transacting business.
- Commercial: passionate about solving problems, enjoys connecting the dots between data, strategy and analytics, obsess with quality and details
- Organization: able to co-ordinate multiple tasks and make sure work output is delivered on-time and accurately operate in a fast-paced and rapidly changing environment with competing project priorities
- Communication: excellent verbal and written communications skills, listening and teamwork skills. Ability to communicate clearly, effectively, and concisely, both verbally and in written form.
Successful candidates will be possess the following skills/capabilities:
- 2+ years’ experience in data governance or information management role with responsibilities business rules and data audits
- Bachelor’s Degree in Computer Science, Statistics, Math or equivalent combination of education and experience
- Experience working on data projects involving data engineers, architects and analysts
- Experience in insurance and/or reinsurance, preferably commercial specialty,
- Knowledgeable with agile development methodologies and tools (i.e. Jira, AzureDevOps)