Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
JOB RESPONSIBILITY
Design, develop, document, and test Business Intelligence solutions using industry standard tools.
Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
Performance tuning to ensure a responsive solution.
Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
Develops processes to utilize other data sources to validate & improve planning standards
Develops management reports on productivity based on advanced data mining & analytics
Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
Create and deliver presentations and reports to clients on insights derived from the analysis
Manage the tools and processes around the creation of enriched data for our clients
Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
Work closely with Full Contact s Data and Engineering teams to deliver on client needs
JOB SKILLS
Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
Experience working with Business Intelligence tools
Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
Customer service, CRM, Analytics, Data analysis, SQL, Consulting
Very good experience in Python/R, SQL or on related machine learning technologies
Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
Strong background on statistics and data analysis
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