Role: The role includes the following - 1. Analyze new data sources to determine what features/attributes can be used from them to derive valuable business insights 2. Study existing data systems in the company and suggest measures to improve their quality. 3. Explore and study data patterns from sample data and provide input to developers to how to use these better in data science algorithms and training models 4. Present reports in Excel format to Management or other teams as required. 5. Build tools using Python/shell and SQL to import/export data, generate reports etc. Desired Skills & Experience Should have 2 years experience encompassing the following skills - 1. Basic programming skills with Python/shell (should be good with Linux CLI and regex) and SQL 2. Comfortable working with textual and numeric data 3. Ability to use tools like Excel and Tableau for data analysis 4. Analytical mind and data-centric approach 5. Communication skills - easily able to communicate with non-technical and technical people
KEY DELIVERABLES • Analysing large Data sets and creating dashboards to influence business strategy & implementation. • Interact with the business heads to understand their requirements & provide insights via data analytics • Use business data and statistical methods to provide insight into business performance and suggest area for and methods of improving operations and sales • Implements analytical approaches and methodologies and assists in the interpretation of results • Able to think creatively whilst also writing logical, comprehensive, concise reports and correspondence REQUIREMENTS • 1-4 years of experience. • Strong analytical and algorithmic problem-solving skills • Ability to multitask and provide both quick insights and detailed insights • Proficient in MySQL and R/python • Comfortable with working in a dynamic environment and looks for order in chaos
Key Deliverables :- Understanding customer life cycle and developing models to improve Acquisition, usage and retention- Deriving consumer insights and proposing actionable to achieve consumer and business outcomes- Implementing analytical, statistical and machine learning methodologies to achieve business targets- Coordinating with relevant teams to drive implementation of solutions designed and measuring their effectiveness- Presenting insights and recommendations to the leadership team and various teams across the organization- Managing projects independentlyWork Experience Requirements :- 4+ years of experience- Ability to crisply define the business problem and translate it into analytical/empirical problem- Strong analytical and algorithmic problem-solving skills- Ability to multitask and provide both quick insights and detailed insights- Proficient in MySQL and R/pythonEducational Qualifications :- Engineering from Tier 1 colleges (IIT/NIT/BITS) and MBA from Tier 1 (Preferred - IIM and ISB)Desired Personal Attributes :- Ability to translate fuzzy business problems into structured solution- Strong bias for Impact based Action: Shuttl works at a very rapid pace & that is what would be expected- Strong communication, interpersonal skills- Change Management skills
CANDIDATE SHOULD HAVE MINI OF 1 YEAR OF EXPERIENCE IN ON PAGE AND OFF PAGE OPTIMAIZATION. PLEASE CONTACT 8586023123 TO SCHEDULE YOUR INTERVIEW IN GURGAON.
If interested, fill the Google form: Senior Actuarial Analyst: https://goo.gl/forms/KhYceOf1kFp1tRsE2 Roles and Responsibilities Analyze the daily operations of insurance companies preferably life/pensions Efficiency analysis of the functioning of different departments of an insurance company Analyse different life products Study and analyze improvement areas as per company’s P&L Study insurance and financial regulations and effectively suggest cost reduction mechanism Education & Experience Bachelor’s or equivalent experience. 2-3 years of Actuarial Analytics Experience preferably life or pensions 2-4 Actuarial Exams not including CT9 Skills UK Market knowledge is a plus Strong analytical skills Great with numbers Great attention to detail Up-to-Date with current trends and best practices followed in the insurance industry Excellent problem solving skills Good Knowledge of Microsoft Excel, Word & Powerpoint Strong oral and written communication skills