Sutherland is a digital transformation company focused on delivering exceptional experiences for both customers and employees. For 36 years, we have been entrusted with caring for our clients’ customers - a responsibility we believe we should earn every day. We are dedicated to making those experiences as delightful as possible - instantaneous, relevant, predictive, and frictionless. As an early pioneer in robotic automation, we added to our core through steady investment and acquiring key capabilities. Our design capabilities marry human insight, design- thinking, and process engineering. To make these designs come to life as envisioned by our designers, we employ the latest in robotic automation, conversational AI techniques with a range of AI-ML enhanced products and cloud-based platforms.

We believe that the best relationships come from trust and value. In addition to delivering exceptionally engineered experiences, we help our clients improve their productivity, reduce costs, enhance customer loyalty, build additional revenues, reduce time-to-market, and efficiently enter new markets. We also stand by our results. Sixty-one percent of our business is outcome based, ensuring our success is clearly tied to our clients’ success. We think that is simple for our clients to understand, and it adds to trust and transparency. Today, over 60 percent of our revenues come from clients with us for more than 11 years. Forty percent of our revenues come from Fortune-50, and 56 percent from Fortune-500 clients.

Though we have a rich history, our sights are anchored deeply in the future. We are optimistic about the benefits industry and society will see as human–machine collaboration continues to enhance what people can do. Our offerings deliver on this whether they are Sutherland Anywhere, enabling a secure remote work environment or Sutherland Connect, delivering data- rich, omni-channel services. Our deep product and platform expertise is trained on solving human problems before they emerge, and on how we wrap services around them - hiring, training, performance, security and more - to solve problems for our clients from end to end.  We work with clients across industries, including Banking, Financial Services and Insurance, Healthcare, Retail, Telecommunications, Media & Entertainment, and Technology, as well as Travel, Hospitality and Logistics.

Our digital backbone spans 144 countries around the world, with 61 delivery centers across 19 countries, handling over 43 million transactions a month for approximately 70 clients. We are a team of 38,000 global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland.

Sutherland is looking for a talented, data-driven Business Analyst -  Guidewire ClaimCentre Data Integration with experience in mapping Guidewire claims center data model to insurers data stores on cloud for reporting, analytics and downstream integration to join one of our growing Insurance programs! If you're a Guidewire expert with Insurance domain expertise, we want to hear from you!!

As a Data/Business Analyst you will get to: 

Perform data analysis, collaborate with data engineers, data modelers, data architects, and technical subject matter experts to enhance data collection and storage procedures, and prepare data quality analysis and reports. Additionally, you will responsible for developing the processes and procedures necessary to ensure the quality of the data.

• Evaluate changes to source systems and the impacts from the data and reporting landscape.
• Work closely with business analysts and technical subject matter experts to understand the source systems and assist in the analysis of data integration and data transformation.
• Support teams with data requirements, source-to-target mappings, and other data-oriented deliverables.
• Consult with data/business owners and teammates to identify all facets of a data issue to help generate a solution as well as understand the potential impacts to processes and systems across the organization. Work directly with business executives to identify areas for improvement.
• Participate in discovery meetings, provide estimates, analyze and validate project requirements and technical specifications, perform impact analysis, and document key issues.
• Troubleshoot job failures with developers, where necessary.
• Support development and monitoring of data quality and data governance processes.
• Identify operational gaps in our delivery based on potential business usage (i.e. dashboard gaps that could lead to rework, or usage gaps).

Required Technical Skills:

• Demonstrated expertise in Power BI and report modeling - or equivalent skills in similar data visualization tools
• Working experience in Snowflake and its associated technologies such as Snowpipe, Snowpark etc., 
• Must be an expert in Guidewire ClaimCentre Integration 
• Understanding of data profiling techniques.
• Strong knowledge of relational databases, SQL, and Python.
• Bachelor’s Degree or equivalent work experience.
• 5+ experience in primary commercial and specialty Insurance (P&C experience) with a focus on data or business analysis.
• Specific domain expertise in insurance areas such as Underwriting, Claims, Finance, or Operations.
• Understanding of insurance KPIs and experience in their implementation.
• Demonstrated analytical and problem solving skills.
• Knowledge of data warehousing, business analysis tools, and data management techniques.
• Ability to work in a fast-paced environment, juggle multiple priorities, and be adaptive to change.
• Can quickly assimilate data and communicate complex requirements and issues clearly and concisely.
• Ability to analyze the root cause of a problem and demonstrate good sense when determining impact.
• Effectively work in a collaborative environment across functional teams.
• Excellent organizational, multi-tasking, and time management skills.
• Strong interpersonal communication skills and presentation skills.

CRITICAL COMPETENCIES:

• Team Leader. Strong interpersonal and team-building skills with the ability to lead supporting teams, from conceptualization to conversion to execution.
• Assertiveness. Moves quickly and takes a forceful stand without being overly aggressive.
• Strategic Thinking. Demonstrates the ability to quickly and proficiently understand and absorb new information to develop and implement short-mid-term strategies.
• Analytical skills. Able to structure and process qualitative or quantitative data and draw insightful conclusions from it. Identify trends and make suggestions for improvement.
• Attention to detail. Does not let important details slip through the cracks or derail a project.
• Communicator.  Excellent organizational, written, and oral communication skills with all audiences. 
• Influencer.  An ability to influence in a matrixed environment.
• High energy. Strategic thinker who is self-directed and driven and operates with a sense of urgency.
• Industry Customer-Centric Approach.  Understanding the needs, pain-points, behaviour of the customer and how to align the company’s offering and value proposition with them.

EEOC and Veteran Documentation
During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status.
At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all 
Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.
Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.