Junior Ops Analyst

This role also focuses on improving how data-related work gets done by identifying repetitive tasks and implementing practical automation wherever possible. Success depends on strong attention to detail, comfort with routine and repetitive processes, and the ability to analyse, structure, and deliver high-quality data outputs in a timely, dependable manner for internal users.

#LI-SD2 #LI-Hybrid

Work on multiple data-related initiatives and requests simultaneously, managing priorities according to operational needs and defined Service Level Agreement (SLA).

Extract data from multiple sources, including internal systems, databases, and structured files.

Clean, validate, and standardize datasets to ensure data accuracy, consistency, and completeness.

Execute bidirectional data preparation processes (tool template) in line with defined Standard Operating Procedures (SOP) and data mappings.

Maintain and update operational datasets, trackers, and reporting outputs.

Prepare and deliver recurring and ad-hoc data outputs to Operations stakeholders.

Support data submissions, uploads, and scheduled data deliveries.

Collaborate closely with Operations teams to understand data requirements and improve data usability.

Identify inefficiencies in data processes and propose improvements.

Ensure correct handling of sensitive and operationally critical data.

Document data processes, transformations, and reporting logic.

Perform basic data analysis to identify anomalies, gaps, or inconsistencies.

Assessment and improvement of working methodologies (Lean Six Sigma)

Document data processes, transformations, SOPs and reporting

Education in Data Science, Computer Science, IT, Engineering, Mathematics, or related fields or equivalent practical experience.
Ability to understand, analyse, and work with large volumes of data, identifying anomalies, inconsistencies, and data quality issues.
Understanding of data manipulation concepts, data structures, and basic analytics.
Experience working with structured datasets and operational data is desirable
Basic knowledge of databases and data querying (e.g. SQL) is desirable.
Familiarity with data processing tools and scripting languages (e.g. Python, or similar) is a plus.
Understanding of Agile methodologies and experience working within agile teams (stand-ups, planning, retrospectives) is desirable
Experience working with task and issue tracking tools (e.g. Jira, Confluence or similar).
Strong attention to detail and focus on data accuracy and reliability is essential
Ability to work as a team player with local and offshore teams.
Self-motivated and manage priorities under deadlines.
Effective communication skills, both verbal and written English.

Other useful experience (not required):

Familiarity with Atlassian tools such as Jira and Confluence for task tracking and documentation.
Experience working with data analysis or reporting tools (e.g. Excel, Power BI, or similar).
Experience handling large datasets in operational or business environments.
Proficiency in MS Access, and Excel.
Knowledge of the Operations, Healthcare, Insurance, or regulated industries is a plus.

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.

When you join Verisk, you become part of a diverse global team with over 7,500 professionals in 30 plus countries, making work that matters. We're certified by Great Place to Work, reflecting our commitment to inclusivity, employee engagement, and wellbeing. At Verisk, your growth is a priority—from professional development and tuition benefits to a supportive, flexible workplace culture, we support your continued growth.

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Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure.

Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws.

We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities.

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