Position: Data Analyst
Company: Storypoint
Experience required: 3y
English level: upper

Responsibilities:

● Analyze disparate data assets and synthesize solutions to aggregate into a manageable data lake solution;
● Work and negotiate with key business stakeholders to define the data dictionary and source of truth;
● Collaborate with the Data Architect in delivering a scalable data solution for a quickly growing business;
● Analyze and map system data into integrated data marts to meet reporting and analytical business needs;
● Create data views to facilitate tool creation by non-technical resources;
● Extensive data profiling on the existing source and integrated data to ensure a thorough understanding of the business needs and the current platforms;
● Test and validate data attributes based both on source data and results from other systems to assure the data accurately reflects the source system and business needs;
● Explain solutions to analysts, tool creators, and report writers;
● Take ownership of the SDLC process and manage work quality and quantity through frequent releases, closely coordinating with the data architect, product managers, and other information analysts;
● Create and maintain clear, detailed, and accurate metadata documentation and knowledge transfer material;
● Work to develop data governance and solutions including consulting as needed on Data Warehouse / Business Intelligence / Analytics architecture best practices;
● Create statistical models that depict company-wide trends;
● Document structures and types of business data;
● Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes.

Requirements:

●  Proficient at writing SQL statements to extract data from a relational database;
●  Understanding of relational and dimensional data models and structures;
●  Knowledge of statistics techniques (regressions, tree-based, etc.);
●  Experience using statistical packages for analyzing datasets (Python, R, etc.);
●  2+ years working in a data warehouse/business intelligence environment or related field;
●  Bachelor's Degree in Finance, Computer Science, Information Systems, Business Administration or another related area of study or equivalent experience;
●  Strong systems analysis background;
●  Strong analytical, organizational, and problem-solving skills;
●  Strong presentation and communication skills, both verbal and written;
●  Ability to function in a consultative role and manage a project;
●  Strong interpersonal skills with the ability to work with both management and staff employees;
●  Must be able to meet deadlines and work independently.

Nice to have:

●  Experience in banking, real estate, or financial services;
●  Experience with dashboard/data visualization tools;
●  Experience working with agile project management methodologies.