Business Data Analyst - Financial Services

Department: Professional Services

Employment Type: Full Time

Location: Portland, ME, USA

Description

Why Work Here?At Arkatechture, we have a simple shared mission: to build a sustainable organization built upon three pillars:  Do something meaningful, With a great team, Earning what you deserve.
We started in 2012 with a passion for data, business, and getting things done. We are a team of data lovers and technical experts who use our skills to help businesses big and small harness, utilize, and optimize their data. As New England’s Data Resource, we are a small company constantly evolving to keep up with changing landscapes in the data world. 
We are proud of the community and culture that we’ve created at Arkatechture, and we have no intention of slowing down. We offer a competitive benefits package that includes: 

• A flexible work-from-home policy
• Open-concept office in Portland, ME with an easy-going dress code, and fresh pots and pops all day (that’s coffee and popcorn!)
• Training & certificate reimbursement
• A competitive benefits package that includes medical, disability, life insurance and optional dental/vision
• 401K Retirement planning with company matching
• Generous paid time off and eleven paid holidays
• Employee recognition through milestone awards including annual PTO increases, as well as a 4 day work-week at 3 years of service!

All employees share our core values: put the team first, practice humility, take pride in everything we do, stay curious, care for our community & environment, take work seriously; ourselves not so much.  The PositionArkatechture is seeking candidates for a Business Data Analyst position to support Business Intelligence and Data warehousing initiatives focused on our Financial Services clients. This position requires specialization in Credit Card portfolios with specific experience in Retail Card Services on TSYS.

As a Business Data Analyst, responsibilities include data analysis, data profiling, data mapping, and developing SQL views. This role requires proficiency in interpreting data, trends, patterns in complex data sets, technical expertise with data models, databases and reporting tools like Tableau or PowerBI. The ability to interpret and use artifacts like business requirement documents, system requirements documents, critical data element identification and classification, requirement traceability matrix, workflows, data mapping, etc. is required. The ideal candidate will be able to work efficiently with the business and the technology teams collaborating with the project/program managers. This position has the opportunity to be 100% remote if desired. 

How to ApplyPlease send a cover letter and resume with your application. You must submit both documents to be considered for the position. 

Key Responsibilities

Responsibilities

• Expert level professional role, considered subject matter expert with in-depth knowledge/expertise in Financial Services with experience in Credit Card required and Retail Card Services on TSYS preferred
• Advanced analytical and problem solving skills
• Fluent in one or two programming languages
• Works autonomously on a range of tasks and may be relied upon to coach/educate others
• May lead end-to-end processes or functional programs
• In-depth experience working with very large datasets and familiarity with big data technologies
• Supports business teams in the use and understanding of the data and reporting solutions
• Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data
• Drives data-centric solution development focusing on complex data integration
• Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions
• Managing client interactions and growing client relationship during projects
• Develop Source to Target Mappings
• Data Profiling, analyzing source system data and metadata and collect requirements for data ingestion into a data warehouse
• Developing and deconstructing complex SQL, Common Table Expressions, Stored Procedures, and Views for Business Conformance layers
• Data Cleansing, Data Quality assessments and developing data quality rules
• Implementing data warehouses, data collection systems, data analytics and other strategies that optimize business intelligence and analytical efficie