The Associate Data & Insight Analyst is responsible for architecting and developing best-in-class and innovative analytics and reporting solutions. This role will have responsibility for establishing, running, and sustaining processes and practices that support Big Data, Analytics, and Reporting solutions and applications in an Open Source environment. The Data & Insight Analyst should have a passion for data, working with business people, and creating solutions and driving value with a keen interest in mentoring and elevating other technical resources. This role will spend time working independently and as part of a team and will focus on specific deadlines in an Agile development process as defined by the management team.
Responsibilities
Architect and hands-on development of Analytics and Reporting solutions.
Implementing and configuring reporting technologies like Tableau and MicroStrategy.
Proficient with SQL for databases like Oracle, PostgreSQL, and MySQL.
Architect, design, build and integrate solutions using Hadoop and other big data tools such as: Scala/Spark, R, Pig, etc. This also includes redesigning existing reports for enhanced utility and usability.
Managing the day-to-day activities of the Analytics Center of Excellence, which is tasked with delivering data-driven recommendations by applying analytics within a Hadoop environment.
Drive automation capabilities into reporting solutions.
Establish credibility and strong working relationship with development teams to review design and code for adherence to established standards and best practices.
Qualifications
Fully Bi-Lingual (both written and verbal)
2+ years' experience in advanced analytics.
2+ years' experience delivering actionable insights from data.
Experience in typical and big data analytics environments.
Experience with business intelligence (data visualization and dashboarding, Tableau, etc.).
Experience with multiple scripting languages (Scala, R, Python, etc.).
Experience with SQL syntax for multiple databases (e.g., standard SQL, Oracle, MySQL, PostgreSQL).
Experience with healthcare billing and coding.
Out of the box thinking and creativity are essential.
Ability to work independently as well as collaborate as a team.
Knowledge and ability to use Statistical methodology to solve business problems.
Ability to actively and skillfully conceptualize, apply, analyze, synthesize, and/or evaluate information gathered from, or generated by, observation, experience, reflection, reasoning, or communication, as a guide to belief and action.
Familiarity with data warehousing concepts.
Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.