Senior Analyst - Analytics

Job Description

A career at our company is an ongoing journey of discovery: our 58,000 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others.YOUR ROLE:The candidate will be a critical resource using multiple Analytical tools and techniques for identifying and solving business problems and to develop standardized methodologies aimed at improving ROI.Specialist is responsible for working on various projects which in turn supports the company s goals and strategy.Responsibilities

• Search compare and analyze data to create insights for management as requested.
• Support data extraction and analysis for business cleansing activities from various ERPs.
• Support data cleansing by creating rule-based data verification programs.
• Create data sets, mappings and expressions for KPI development and extension.
• Propose new KPI ideas based on available data and business requirements.
• Support data enhancement and cleansing initiatives to fine tune reporting.
• Support data migration team by sharing knowledge about data quality, scope and completeness
• Perform functions on data governance - data quality, compliance, security and privacy.
• Proactively analyze business data (customers, accounts, products, prices, sales, orders, opportunities etc.) to look for gaps and opportunities for business growth.
• Present findings in a clear way to provide options for making decisions.
• Gather data where required when missing.
• Compile and analyze data over time to forecast sales trends
• Communicate with management team regularly
• Collaborate with team members and members of other departments
• Solving Business problems using multiple Analytical tools and techniques.
• Analyze reports to identify operational issues and determine root-cause.
• Hands on experience in building and implementing advanced statistical analysis, machine learning and data mining algorithms.
• Effectively communicate analysis results to business using strong verbal and written communication skills.
• Implement and maintain business solutions and recommendations to improve performance.
• Work with our stakeholders to understand their priorities, questions, needs, and requests.
• Conduct ad hoc analysis to support regional / Global business needs.
• Integrate tools and processes to enhance global and regional efficiency through training and communication.
• Ensure the accuracy of reports by enforcing processes, using regional knowledge, and data entry when required.
• Develops methods and strategies for assessing large amounts of data.
• Ability to co-ordinate and manage simultaneous data analysis requests from multiple sources.
• Generate ad hoc reporting and analysis for the Business and Management.

WHO YOU ARE:Education:

• Bachelor s Degree in Computer Science/Statistics, BE, B.Tech. - Computers
• PGDM/MBA in Business Analytics from reputed institution is an added advantage.

Experience:

• 2 to 3 plus years of functional experience required, preferably in industry and/or consulting analytics role.
• Experience in data analysis, master data or data engineering projects

Technical Skills:

• Programming R, Python, SQL, PySpark
• Data Visualization Tableau.
• Knowledge on Stats and Math.
• Additional requirement Java script, CSS

Required Skills:In addition to analytical and quantitative skills, a successful candidate will have the following qualities:

• Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems.
• Partner with data engineering teams to build scalable, efficient, automated ML-based pipelines (training /evaluation /monitoring).
• Analyze and assess data to ensure high data quality and correctness of downstream processes.
• Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algorithms, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies.
• Hands-on experience in at least one of the following: (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization.
• Good programming skills (R/Python/SQL)
• Should know how to build a framework to collect and then analyze the data.
• Understand and translate stakeholder s business needs into analytical project design and data-driven insights.
• Lead communications with stakeholders to identify data sources and specify detailed data requests.
• Impeccable and concise communication and presentation skills, both verbal and written.
• Write, review, and present final reports to all levels of management, both technical and non-technical audiences to summarize analytic projects and make analytical recommendations.
• Ability to work effectively in a cross-functional organization and multi-task in a fast-paced environment.
• Strong interpersonal skills to enable adoption and encouragement of reports and intelligence.
• Attention to detail.
• Ability to identify and tackle the right questions that align with the business and maximize impact.
• Handling UnstructuredData.
• Infinitely curiosity and a passion to learn.
• Desire to help build a data-driven culture with an unwavering focus on precise communication
• Welcome and look forward to iterative feedback.
• Ability to work both independently and cooperatively in a fast-paced environment.
• Self-motivated with a high degree of integrity, honesty and ethics.

What we offer: With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!We are committed to promoting a diverse and inclusive workforce. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.,

Keyskills :
data miningdata cleansingdata governancead hoc reportingtime seriesdata extractiontime series analysismaster datadata migrationmachine learningdata entrydata qualitylinear modelsdata analysis