53 Regression Analysis Jobs - Page 3

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Market Access Job Sub Function: Pricing Job Category: Professional All Job Posting Locations: Mumbai, India, Pune, Maharashtra, India Job Description: Pricing Manager (Regional Strategic Pricing), Pune / Mumbai, India Johnson & Johnson MedTech APAC Strategic Insights, Analytics, & Pricing is recruiting for a Pricing Manager , APAC to be located in Pune, India reporting into regional head of Strategy, Insights, Analytics & Pricing (SIA&P). The SI&AP team drives alignment across business units, platforms, and clusters through regionally-lead, cross-functional collaboration and solid foundation in research, and data analytics. The members of the regional team work closely with the Customer, Market, Finance, and BU teams to build value-based business cases and drive a portfolio of strategic initiatives focused on near and long-term revenue growth opportunities driving Profitable Growth. Job Description: The manager will be responsible for integrating critical internal as well as external pricing analytics and reporting within the Regional strategic pricing team. The key responsibilities for the broader team include development, implementation and oversight of regional pricing strategy, policies and long-term capabilities across the APAC J&J MedTech (JJMT) portfolio of products with gross Regional sales of around $6B. The role will work with various clusters and regional BU teams, and pricing and finance team in close collaboration to manage and provide pricing insights and recommendations, analyze product portfolios and recommend customer level pricing across platforms and regions. It will require a high degree of business sense and understanding and proactively recommend tools and techniques to support secondary market sources and marketplace understanding across the business. The role will be required to work with the Global pricing COE to drive training and adoption of global pricing assets and data; in particular seek collaboration with global COE to identify pricing opportunities and drive execution by APAC clusters and Business units. Key Responsibilities : Lead discussions to consult with business leaders to generate insights on customer price sensitivities, market intelligence, and profitability impacts, with the objective of Profit optimization. Perform advanced analysis to evaluate critical areas for improvement, including price setting, revenue optimization, and strategic alignment with channels, and customer segment. This may include correlation analysis and regression analysis Analyze existing price strategies and improve pricing models of potential changes to quantify sales and profitability impact to customer segments, brands and markets Perform data mining, cleansing, and manipulation; identify necessary data elements and their sources, use appropriate tools to acquire and consolidate large volumes of data from different sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data Derive insights that lead into actionable recommendations. Work cross-functionally with the Pricing Team, Finance and Marketing to define, deploy and direct robust and effective price analytics, delivery, and execution capabilities. Responsible for report development such as quarterly performance of critical metrics, profit optimization, and ad-hoc analyses while also supporting risk assessment and recommendations. Education: A minimum of a bachelor s degree. MBA preferred. Background in computer science, math, marketing, or another quantitative field is preferred. Experience and Skills: Required: A minimum of 4 years of hands-on experience in problem solving using quantitative research, analysis, and data. Ability to draw conclusions from complex situations, then recommend and implement a course of action in both a timely and proactive manner. Extreme attention to detail and commitment to quality. Proven ability to translate large amounts of data into actionable insights and coherent strategies. Excellent verbal and written communication skills and the ability to interact professionally with multiple business partners. Ability to find out-of-the-box/non-traditional ways of problem solving and apply innovative thinking when approaching and defining solutions. Enjoys the challenge posed by problems and enjoys solving them. Desire to work in a fast paced, growing, deadline driven, startup-up environment. Ability to inform rapid, but fact-based decision-making with imperfect data. Self-motivated, driven to achieve team s commitments. Ability to deal with ambiguity/insufficiency: Adopts change and encourages others throughout this process. At ease creating contingency plans and rallies others to do likewise.

Add to favorites Favorited View favorites Role and KEY RESPONSIBILITIES Develop and maintain a comprehensive forecasting model, using regression analysis knowledge Utilize Workforce Management tools to forecast call volume, AHT, and shrinkage to create staffing requirements Collaborate with tactical Workforce teams Determine yearly, monthly, daily and intraday staffing requirements by gathering data on contact center statistics, marketing campaigns, system events, etc. Coordinate and facilitate collaboration with Operations leadership, Marketing, Human Resources, Finance, IT, other outsourced partners to capture forecast and staff impacting activities Manage forecast results by providing feedback, input and reporting to business partners to develop more scientific and accurate forecasting methodology Align call demand with agent supply to achieve key performance objectives (service level, utilization, budgeting, etc.) Provide long-term forecasts to Operations leaders and product owners in support of future strategic initiatives Conduct workforce simulations to provide advice regarding the impact of business strategies within contact centers Provide medium and short term forecast to account for changes in campaigns or volume disruptors Provide recommendations on adjusting staffing levels based on future business needs. Regularly communicate with other units to foster an effective team environment and ensure these areas are aware of issues that may impact their area. Provide requirements for staffing, hiring plans and Mandatory training plans to the operations team. Analyze historical data for Client volumes and Agent line requirements on complex projects and work with the operations team to get the inputs on staffing requirements, Shrinkage details, Absenteeism & Attrition. Develop and run long, medium and short range forecasts based on operations requirement using different forecasting methods. Perform other work as required and assigned. Analyzing and providing the data based on the adhoc requests to the management team. Key Skills & Knowledge IEX WFM - and other Workforce Scheduling tools. (Admin, setup, use, updated, edits, reporting MS Office - Excel, PowerPoint, Word, Access, Outlook, etc. InContact/Oracle - ACD and other ACD platforms to support multi-channel Environment - (Voice/Chat/Email/SMS) Good knowledge of the call center industry. Good understanding of the financial impact of all decisions made within the Command Center (i.e.; system downtime; overtime; home early; utilization; percent answered; etc.). Knowledge of ACD and Call Center Workforce applications - preferred. Strong oral and written communication skills. Proficient in Microsoft Office. Ability to multi-task, prioritize, and meet timelines of deliverables. Self-starter, sense of urgency, and works well under pressure. High attention to detail, sense of professionalism and ability to develop relationships QUALIFICATIONS Graduate Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. At Ascensus, we aspire to make a difference for others. We are a technology-enabled services company that helps people save for a better future through our network of institutional, financial advisor, and state partners. Our culture is guided by sound principles, is committed to high standards, operates with transparency, and welcomes diversity housed within our Core Values: People Matter. Quality First. Integrity Always. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ( Protected Status ). Tweet

This role is part of the Support Abuse Analytics and Insights team, which sits within a broader Global Planning, Strategy & Analytics team in Community Operations (CommOps). CommOps is responsible for developing a world-class customer support organization that scales effectively, is reliable and consistent, and provides unmatched service to our global Uber community. The Support Abuse data analytics specialist will help in defining and monitoring key business metrics for the Global Support Abuse program, which has a mission of driving efficient, fair, and accurate resolution of refunds and appeasements requests by Uber users by ensuring that automated and manual policies are not abused. This analytics team will also be partnering with many Product / Data Science / Operational teams to tackle key support abuse goals. As a data analytics specialist for the team, you will help drive impact by being a subject matter expert of our data, as we'll as assisting the team in driving projects through a data perspective. Your Impact in Role: Build and maintain source of truth dashboards, queries, and self-service data tools to be leveraged by stakeholders for monitoring business performance and guiding decisions Recommend and implement strategies to optimize queries, dashboards or analytic processes Proactively analyze data, identify trends and generate meaningful recommendations to drive business goals within the Support Abuse domain Performing impact analysis to assess the feasibility and effectiveness of programmatic or operational projects Occasionally train and mentor junior team members on analytic best practices The Experience you'll Bring: At least 2 years experience in data analytics Strong analytics, SQL, and web query skills with ability to: Select, clear and transform dataset Write simple nested statements and queries for complex problems Use Hive or Presto Experience within Python or R, with the ability to: Build self-operating dashboards Work with third-party APIs (basics) Use Pandas Library (skilled) Strong stakeholder management and communication skills, with the ability to: work with many business Stakeholders and tailor solutions to their needs explain complex technical details to non-technical business audience (excellent written and spoken English) Proficiency with at least 1 data visualization tool (eg Tableau, Looker Studio, Excel / Google Sheets) Preferred Qualifications: Coding with best practices (optimized & reusable code, versioning, etc) Creating flows (ex.: Lucidchart) Basic statistics knowledge, affinity with: experimental design and A/B Testing, Percentiles, distributions, regression analysis Exposure to: Scrum process (eg Jira) and interpretation and preparation of technical documentation Willingness to develop subject matter knowledge on Support Abuse and specific business processes to drive impactful analytic insights