Lead Business Analyst

Job Description

Job Description

Job Title : Lead Business Analyst

Location : 100% Remote

Duration : Fulltime

Interview mode : Video

Visa : USC / GC

LinkedIn (Required)

Keys are P&C insurance and MUST HAVE WORKED WITH DATA WAREHOUSE / DATA LAKE, huge amounts of data.

MUST HAVE 3 year Property and Casualty Experience

MUST HAVE WORKED WITH DATA WAREHOUSE / DATA LAKE.

Experience working in a consulting role is preferred.

Job Description :

Our client is a is a trailblazer in the insurance industry, revolutionizing data and analytics through their unique platform.

They stand out by offering the only insurance-specific solution that works seamlessly on any cloud platform and leverages cutting-edge technologies like generative AI, machine learning, and natural language processing.

This gives insurers unparalleled insights and a competitive edge in managing their businesses.

What you'll be doing :

As a Sr. Business Analyst, you will be a subject matter expert on insurance products and processes, readily sharing knowledge and collaborating with the team.

You'll be the whisperer for our clients. You'll dive deep into their challenges, understanding their data and analytics needs with laser-sharp focus.

Then, wielding the power of our platform, you'll be a co-pilot in designing and building custom solutions that unlock vital business insights and fuel their performance.

From gathering requirements to ensuring seamless platform implementation, you'll be their data champion, guiding them toward a data-driven future.

Your deep insurance knowledge and analytical prowess will be the compass in this adventure, ensuring every step delivers maximum value.

So, are you ready to be the hero our client needs?

The value you'll bring to the team :

• Lead client interactions to analyze, solicit, and formalize data and analytics requirements, crafting clear business requirements documents for solution design.
• Collaborate in designing new solutions by interpreting client needs, translating them into technical specifications, and ensuring the final product delivers maximum value.
• Bridge the gap between source and target systems, seamlessly facilitating data mapping for efficient data integration and analysis.
• Develop and maintain key performance indicators, insightful reports, and user-friendly dashboards that empower informed decision-making.
• Provide expert guidance on the business implications of various systems, ensuring strategic alignment and optimized results.
• Lead quality assurance efforts, meticulously testing solutions against business requirements to guarantee successful implementation.
• Facilitate robust and engaging client meetings, effectively communicating complex details and fostering strong relationships.
• Identify and resolve complex technical and business issues, proactively escalating risks and engaging higher-level staff when needed.

Knowledge, Qualifications and Experience :

• MUST HAVE Insurance Expertise : 3-5 years of experience in Life or P&C insurance.
• 4-6- years of experience gathering data, reporting, and analytics requirements, focusing on data integration, reporting, and analytics.
• Strong experience / exposure to one or more of Microsoft, Oracle, Amazon, Google, and data reporting / management tools is a plus.
• Data Cleaning Ace : 4 years of data profiling and cleansing experience is a plus.
• Excellent oral and written communication, organizational, interpersonal, and time management skills are essential.
• Work independently with minimal direction and thrive in a dynamic entrepreneurial environment.
• Experience leading teams through the full development life cycle is a plus.
• Familiarity with scripting languages like Python or R for data analysis and automation.
• Experience with SQL for querying relational databases.
• Knowledge of ETL (Extract, Transform, Load) data extraction and preparation tools.
• Proficiency in data visualization tools like Tableau, Power BI, or QlikView to create insightful reports and dashboards.
• Familiarity with statistical analysis techniques to interpret data patterns and trends.
• Understanding of cloud platforms like AWS, Azure, or GCP used for data storage and analysis.
• Experience with data warehousing and data lakes for large-scale data management.
• Knowledge of API integration techniques for connecting different systems and data sources.
• Familiarity with Agile development methodologies and project management
12 hours ago