Data Analyst at Finpact Consulting

Job Summary

The Data Analyst is a self-motivated individual who can lead specific project initiatives, engage with clients and or external stakeholders and work with minimal supervision. Our Data Analyst has high skills in data analysis and will be integral in ensuring excellent quality control in all projects, manage his/her team effectively and timely feedback/Reporting to all stakeholders.
Key Duties and Responsibilities:

• Coordinate, direct and oversee work done by data collection team
• Managing master data, updates and deletion
• Provide quality assurance of collected data, working with external quality assurance analysts if necessary
• Managing and designing the reporting environment, including data sources, security, and metadata.
• Supporting initiatives for data integrity and normalization
• Assessing, tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Providing technical expertise in data storage structures, data mining, and data cleansing
• Continually identify issues and analyze calls then propose better processes
• Regular attendance of the weekly meetings with clients to ensure we are aligned with their perspective and present situation of the project
• Identify, develop and document issues and recommendations using independent judgment concerning areas being reviewed.
• Communicate results of analysis, document challenges and give recommendation via written reports.
• Provide input to the project team during all phases of the project.
• Ensure firm’s high expectations for quality in all assigned projects and deliverables.
• Proven track record of effectively delegating work to other members of a team and supervising the work effectively
• Processing confidential data and information according to Finpact’s guidelines
• Other related projects and or tasks as assigned.

Qualification and Requirements:

• Bachelor’s degree in mathematics, computer science, economics, and related courses
• With 4+ years in a role in data analysis, delivering business process improvement, and systems strengthening in a professional services firm.
• Demonstrated experience in handling large data sets and relational databases.
• Ability to work with stakeholders to assess potential risks.
• Ability to analyze existing tools and databases and provide solution recommendations.
• Proven quantitative, analytical, problem-solving, and conceptual thinking skills.
• Excellent client management skills, collaborative work style, and strong interpersonal and team skills.
• Problem solving and excellent reporting skills
• Ability to work under tight deadlines and manage multiple priorities.
• Very strong verbal and written communication skills.
• Proficient in the use of the MS Office Suite.
• Knowledge of the alternative energy industry is an advantage.