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.

• 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.
• Deliver using an Agile development process.
• Maintain our repository and other relevant documentation.
• Consulting skills strong enough to work with clients on their analytic needs.
• Contribute to other open source projects.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.

It is expressly understood that the aforementioned obligations and responsibilities are not exhaustively stated, so that the Employee must comply with all other functions, obligations and responsibilities, limitations or instructions of the Company that derive from everything related to his main activities and without additional compensation since the Employee's salary already includes any compensation required. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required.

• Fully Bi-Lingual (both written and verbal)
• 2+ years’ experience
• 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 in Agile environment.
• Out of the box thinking and creativity are essential.
• Ability to work independently as well as collaborate as a team.
• Must have flexibility and willingness to participate in the work processes of an international organization, including conference calls scheduled to accommodate global time zones.
• 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.
• Ability to make recommendations with authority to other departments or individuals (acting as clients
• Ability to appropriately summarize and effectively communicate complex concepts & varied data sets to inform stakeholders, gain approval, or prompt actions;
• Applies to multiple audiences ranging from the analyst to executive level; Includes oral & written communication and multimedia presentation. 
• Proficient with Microsoft Office Suite (Word, Excel, Power Point).
• Familiarity and ability to quickly learn big data analysis techniques (e.g., Scala, R).
• Familiarity with data warehousing concepts.