4 Diagnostic Analytics Jobs

Job Title - Data Analyst Location - Pune Job Description Role Synopsis: bp is reinventing itself and digital capability is at the core of this vision. Technology Engineers work on the strategic technology platforms we exploit from the market, or come with deep skills in the implementation and integration of market solutions into our overall technology landscape. You will bring a broad base of Digital technical knowledge and a good understanding of software delivery principles. You will be familiar with lifecycle methods, with Agile delivery and the DevOps approach at the core. bp operates a field based organization and you may be deployed to work in different areas of our business over time based your skills and experience and the business adoption of technology. With your technology specialist skills you will bring transferable skills which will allow you to support immediate business demand, and to grow your skills over time. You thrive in a culture of continuous improvement within teams, encouraging and empowering innovation and the delivery of changes that optimise operational efficiency and user experience. You are curious and improve your skills through continuous learning of new technologies, trends & methods, applying knowledge gained to improve bp standards and the capabilities of the Engineering Community. You mentor others in the Team to drive improved performance across our business. You accept a culture of change and agility, evolving continuously, adapting to our changing world. You are an effective teammate, looking beyond your own area/organizational boundaries to consider the bigger picture and/or perspective of others, while understanding cultural differences. You continually enhance your self-awareness and seek input from others on your impact and effectiveness. Well organized, you balance proactive and reactive approaches and multiple priorities to complete tasks on time. You apply judgment and common sense you use insight and good judgment to inform actions and respond to situations as they arise Responsibilities: Be a link between business and digital organizations and part of a cross-disciplinary team, working closely with other analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners. Provide actionable, data-driven business and product insights by combining deep statistical skills, data manipulation capabilities and eye for business. Maintain metrics and build dashboards. Autonomously complete data analysis. You apply existing data & analytics strategies relevant to your immediate scope. You partner with data engineers to define and build simple data models. You integrate existing tools to automate data ingestion, data manipulation, quality control and data analysis. Enforce to and advocate for data analytics standard processes. Present results to peers and team members Collaborates with customers. Mentor others. Qualifications: MSc in a quantitative field, preferably statistics. Hands-on experience (typically approx 3- 6 years) carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches Advanced SQL knowledge Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Strong business insight. Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail. Good communication and customer leadership skills. Ability to lead large organizations through influence! Continuous learning and improvement mentality. Desired: Advanced analytics degree Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. No prior experience in the energy industry required.

As a Senior Associate Consultant in Analytics within the Digital Transformation Services (DTS) unit, you will have the opportunity to contribute significantly to our client's Financial Services vertical, particularly in the areas of Insurance and Healthcare. Your role will involve leading analytics solution design, presales activities, and practice development to drive impactful transformations for our clients. Your primary responsibilities will include anchoring analytics-led transformations for our Insurance or Healthcare clients, taking the lead in solution design, supporting RFP/RFX responses, and delivering engaging client presentations. You will be expected to drive thought leadership through the demonstration of solutions, use cases, and points of view, while also crafting and delivering descriptive, diagnostic, predictive, and prescriptive analytics solutions. Collaboration with cross-functional teams and working seamlessly across different time zones will be crucial to your success in this role. To excel in this position, you should ideally possess 5-10 years of experience in Insurance or Healthcare analytics, backed by a strong background in presales and solutioning. Additionally, a minimum of 5 years in analytics consulting, model development, and client delivery is required. Proficiency with analytical tools such as Power BI, Tableau, Qlik, or Zoho is essential, along with hands-on experience in AI/ML, statistical modeling, and Power Automate workflows. Your communication skills and business consulting acumen will be key assets as you engage with clients and internal stakeholders. Candidates with a postgraduate degree or MBA from a Tier 1 institution will be given preference for this role. Join us in this exciting opportunity to shape the future of analytics in the Financial Services industry and drive meaningful digital transformations for our clients.,

As a part of this role, you will be responsible for conducting descriptive and diagnostic analytics on various data sources. Your tasks will involve applying machine learning tools to both data and metadata in order to enhance data quality. By identifying patterns and trends within data sets, you will contribute to the overall understanding of the information available. Additionally, you will play a key role in developing data profiles for different data tables and elements present in the data lake. Your responsibilities will also include creating data catalog entries and ensuring the quality of metadata within the data catalog. Collaboration with team members to devise data cleansing methods and rules will be essential to maintain data integrity and consistency. This position is a full-time, permanent role that requires your physical presence at the work location.,

As an experienced Marketing Analytics Trainer, you will have the opportunity to deliver a comprehensive classroom training program for our Brand Design and Activation Team based in Mumbai (Vikhroli). This program spans over 23 full days and is aimed at 1011 professionals involved in Content Marketing, Digital Marketing, Social Media Marketing, and Campaign Creation & Activation. Your role will involve designing and facilitating a program titled "Marketing Analytics: Data-Driven Decision Making" tailored to Brand Managers, Brand Activation Leads, and Product Marketing Professionals. The primary objective of this program is to equip participants with the knowledge and skills to leverage analytics for marketing decision-making effectively. Throughout the training, you will guide participants to understand the four key types of analytics - Descriptive, Diagnostic, Predictive, and Prescriptive - and demonstrate how each type contributes to informed marketing strategies. Moreover, you will enable participants to translate data insights into actionable marketing plans, utilizing both qualitative and quantitative research tools to extract valuable customer insights. Your expertise will be pivotal in connecting research outcomes to decisions related to brand positioning, campaign development, and product innovation. By integrating analytics and customer insights, you will help create a cohesive decision-making framework aligned with the overarching business goals of the organization. To excel in this role, you are required to have a proven track record in Marketing Analytics training or similar corporate workshops. A strong understanding of data-driven marketing practices and analytical frameworks is essential, along with the ability to engage effectively with cross-functional teams from various departments such as brand, product, and digital. Additionally, the inclusion of hands-on examples and relevant industry use cases in your training sessions is highly preferred to enhance the learning experience for the participants.,