Cloud Business Data Analyst

Cloud Business Data Analyst

Department: Professional Services

Employment Type: Full Time

Location: Remote

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 (work 100% remotely!)
• Open-concept offices 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 and 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 Cloud 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 Cloud Business Data Analyst, responsibilities include data analysis, data profiling, data mapping, developing SQL views, and writing Python code. 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 Apply  Please send a cover letter and resume with your application. You must submit both documents to be considered for the position. 

Key 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 SQL and Python
• 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 cloud data warehouses, data collection systems, data analytics and other strategies that optimize business intelligence and analytical efficiency and quality
• Building reference data for hierarchies, lookups and grouping purposes
• Acquiring data from primary or secondary data sources and developing and maintaining Data Dictionaries, Critical Data Identification and Classification, Data Lineage, and Data Quality rules
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing reports and key performance indicators to locate and correct code problems
• Testing using SQL and providing development sign off
• Mentoring & review SQL code and deliverables of junior & mid-level Data Analysts
• Locate and define new process improvement opportunities
• Documentation of processes and workflows
• Additional responsibilities as assigned

Skills, Knowledge and Expertise

Minimum Qualifications

• Bachelor's Degree in a relevant field or 2-5 years of experience in a similar role
• Expert in complex SQL syntax
• Understanding of Azure cloud platform
• 1-3 years of experience with Databricks
• Fluent in Python
• Domain expertise in Financial Services working with Banks and/or Credit Unions focused on Credit Card portfolios and specifically Retail Card Services on TSYS
• Enthusiastic, learner and driven with a positive attitude
• Strong critical and analytical thinking and problem solving skills
• Experience working on multiple databases such as Snowflake, SQL Server, Databricks, Oracle,  PostgreSQL, MySQL, etc
• A strong understanding of Agile software development life cycle and methodology
• Experience working on Data Management projects for Data Lakes/Data Warehousing
• Experience driving and growing client interaction as part of sales support and project delivery
• Analytical and problem-solving skills are required to interpret data and draw conclusions
• Review, analyze and evaluate detailed business and functional requirements, documentation, process flows and data models to contribute to the development of project plans including project charter, project deliverables, cost/benefits analysis, time line estimates, scope and control.
• Develop use cases, defining and documenting user procedures and workflows, and how each class of user interacts with east system function
• Assist in the development of conversion and implementation strategies
• Skill in using analytical software tools, data analysis methods and reporting techniques
• Ability to communicate effectively in both oral and written form
• Ability to work collaboratively and build relationships
• Ability to work successfully as a member of a team and independently
• Ability to exercise sound judgment in making decisions
• Ability to analyze, organize and prioritize work while meeting multiple deadlines
• Ability to handle confidential information with discretion

Preferred Experience

• 2+ years as a Subject Matter Expert in Financial Services, especially Credit Card in general and  Retail Card Services on TSYS specifically
• Proactively identifies and tracks project risk and develops mitigation plans to manage risk (i.e., risk related to technology, change management, procurement, business process management, requirements management)
• Provides on-going communication to key stakeholders, including the Project Sponsor, Business Project Owner, Program Manager and Portfolio Manager to ensure they are aware of significant changes to the project status in a timely manner
• Develops, monitors and tracks project plans throughout project lifecycle
• Monitors and controls the work related to each deliverable
• Experience developing and implementing dbt models
• Familiarity with Backbase