Senior Data Analyst

Cotality

1d • Remote

About The Position

We are seeking a highly skilled Data Analyst to join our Analytics Support team to serve customers across the property insurance and restoration industries. As a data analyst you will play a crucial role in developing methods and models to inform data-driven decision processes resulting in improved business performance for both internal and external stakeholder groups. You will be responsible for interpreting complex data sets and providing valuable insights to enhance the value of data assets. The successful candidate will have a strong understanding of data mining techniques, methods of statistical analysis, and data visualization tools. This position offers an exciting opportunity to work in a dynamic environment, collaborating with cross-functional teams to support decision processes that will guide the respective industries into the future.

Requirements

• 5+ years’ experience data modeling and analysis
• Bachelor’s degree in computer science, data science, statistics, or a related field is preferred.
• Advanced knowledge of data analysis tools such as Excel, Tableau or Power BI
• Demonstrated expertise in Powr BI creating reports and dashboards, including the ability to connect to various data sources, prepare and model data, and create visualizations.
• Experience with Power Query for importing, transforming, and shaping data.
• Expert knowledge of DAX for creating calculated columns and measures to meet report-specific requirements.
• Proficiency in SQL with the ability to write complex queries and optimize performance.
• Experience with ETL processes, data pipeline and automation a plus.
• Strong analytical and problem-solving skills
• Excellent attention to detail and the ability to work with large datasets.
• Effective communication skills, both written and verbal.
• Excellent visual communications and storytelling with data skills
• Ability to work independently and collaborate in a team environment

Responsibilities

• Collaborate with cross-functional teams to understand and document requirements for analytics products.
• Serve as the primary point of contact for new data/analytics requests and support for customers.
• Act as the domain expert and voice of the customer to internal stakeholders during the analytics development process.
• Develop and maintain an inventory of data, reporting, and analytic product deliverables for assigned customers.
• Work with customer success teams to establish and maintain appropriate customer expectations for analytics deliverables.
• Create and manage change order tickets on behalf of customers within internal frameworks.
• Ensure timely delivery of assets to customers and aid in the development of internal processes for the delivery of analytics deliverables.
• Work with IT/Infrastructure teams to provide customer access to assets and support internal audit processes to ensure data security.
• Create and optimize complex SQL queries for data extraction, transformation, and aggregation.
• Develop and maintain data models, dashboards, and reports to visualize data and track key performance metrics.
• Conduct validation checks and implement error handling mechanisms to ensure data reliability.
• Collaborate closely with stakeholders to align project goals with business needs and perform ad-hoc analysis to provide actionable recommendations.
• Analyze large and complex datasets to identify trends, patterns, and insights, and present findings and recommendations to stakeholders in a clear and concise manner.

Benefits

• Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level