BI Development Analyst

Flexible Working Options:

Is this role eligible for flexibility in working location (within the same country, state or tax jurisdiction): Yes

Is this role eligible for flexible days/ working hours: Yes

• Non People Leader

Authority Levels - Individuals have implied authority to do what is necessary in carrying out their Responsibilities below, subject to the requirements of the Sources of Authority Framework;

• Authority to operate as Support Manager, Change Coordinator, Change Implementor, Incident Manager, .

RESPONSIBILITIES

The BI Development Analyst will be responsible for Tools COE on-premises & on-cloud with good technical knowledge on big data and Tools. Good exposure in problem solving & stakeholder management skills. This role will report into the Lead for Tools Engineering Team

Strategy

The ideal candidate is highly organized, action-oriented, hands on and accomplished in the development and deployment of BI tools solutions using multiple BI tools. Candidate must have a result-oriented approach towards problem solving. Candidate must be conversant with application architecture, application integration and use of BI and Data processing tools in a complex environment with Data Security, User Access Managed, Authorization and tightly controlled environment which deploys modern authentication mechanisms used in large organizations. Candidates should have a basic understanding of the networking and application deployment criteria associated with deployment of web based and mobile applications. Candidate should be flexible to work on various areas in BI Tools/ Data Management Platforms within SRE on Premises & on Cloud stack. In this role, he/she will be expected to acquire a deep technical understanding of the COE Tools stack. Any knowledge and hands on capabilities with scripting languages like Python, Java, Linux/Windows scripting or hands on knowledge of application monitoring tools will be a plus point. Any previous experience of administering BI Tools or Data Management tools or implementing automation solutions for BI Tools management will be a plus point.

People and Talent

• Hands on experience in developing and administering Predictive Analytics tools like SAS, R, SPSS, Python based predictive analytics or BI Tools like MicroStrategy, Tableau, Power BI and Data management tools like Dremio, Exasol, Dataiku for a minimum of 4 to 8 years
• Experienced in understanding BI Application design and development practises
• Experienced in understanding Data Management design and development practises
• Experienced in designing and implementing user access management and data security management for BI Tools and Data Management tools
• Experienced in managing BI Tools and Data Management tools upgrades and patching
• Should have expertise in at least one BI Tool or Data Management platform
• Very good verbal and written communication skills
• Hands-on experience in API testing & developing automation test script for mobile or tablet devices using Appium.
• Good understanding of Linux operating system and hands on work experience in Linux operating system is desirable
• Ability to identify new testing techniques and tools.
• Excellent problem-solving skills.
• Excellent team player and exhibit a positive attitude
• Strong collaboration, oral and written skills.

Other Responsibilities

• Strong Technical skills in Predictive Analytics tools like SAS, R, SPSS, Python based predictive analytics
• Good exposure to migration from MSTR & Tableau to Microsoft Power BI or working with data accelerations tools like Dremio/Exasol or Data processing tools like DataIku
• Good knowledge on features / capabilities in Power BI, MSTR, Tableau.
• Serve as a technical COE for BI Reporting Tools. Work with Tools Technical support to resolve issues requiring vendor assistance.
• Govern the BI environment and continuously optimize the environment via governing settings, security settings, and other mechanisms.
• Upgrade of tools to latest version for maximum business impact
• Tools Usability Tracking & Reporting

Skills /Abilities and Knowledge

• administration Predictive Analytics tools like SAS, R, SPSS, Python based predictive analytics
• Strong analytical and problem-solving skills
• Ability to communicate orally and in writing in a clear and straightforward manner with a broad range of technical and non-technical users and stakeholders
• Proactive and focused on results and success; conveys a sense of urgency and drives issues to closure
• Should be a team player and leader, flexible, hardworking, and self-motivated and have a positive outlook with the ability to take on difficult initiatives and challenges
• Ability to handle multiple concurrent projects