65 Scorecard Jobs

Demonstrate quantitative skills and well versed with data wrangling methods. Develop, Review, Validation of Basel/Capital model on risk factors PD, LGD, Credit Portfolio) for retail and wholesale portfolios. Documentation aspect of model development is key as are the skills to present this information to peer review and independent review of model governance committees. Manage Basel Modelling, PD, LGD Model Development Develop / validate risk measurement models for credit risk management, incl. models for credit rating and scorecards. Collate, test and check independently sourced economics data (forecast and stress) and assess its robustness and fitness for purpose of model development. Demonstrate Credit Risk Model Development. Ensure adequate documentation and analysis in place for model review committee which involves peer review and independent review committees Prepare effective material for dissemination to key business stakeholders at all levels of seniority and obtain approval by the clients Support ad-hoc requests in support of the business as necessary Ensure timelines around project deliverable are met and all the stake holders are informed about the status of the projects Drive standardization of analysis and processes to gain efficiency If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every single day. And if you relish the freedom to bring creative, thoughtful solutions to the table, there's no limit to what you can accomplish here. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate or postgraduate with a minimum of6+ years of experience in theFinance domain Proven Mathematician/Statisticianor quantitative background with knowledge of economic and econometric models (at least master's degree). Working knowledge SAS / Python and R. Exposure to Basel Modelling, PD, LGD Model Development and Validation, economic capital modelling, from any Competitoror bank / with Risk Management experience in the wholesale and retail area. Proven communication skills with technical (the team) and non-technical (senior entity management around the globe) counterparts. Proficient in high customer orientation and conflict management Working knowledge of credit risk or Basel/capital model development Ability to convert business needs into modelling needs

Roles and Responsibilities Develop and maintain credit risk models using statistical modeling techniques such as logistic regression, predictive modeling, scorecards, etc. Collaborate with stakeholders to identify business requirements and develop data-driven solutions for credit risk analysis. Design and implement operational analytics frameworks to support decision-making processes. Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations in large datasets. Provide insights on portfolio performance by analyzing historical data and making recommendations for improvement. Desired Candidate Profile 5-10 years of experience in Credit Risk Analysis & Modeling or related field. Strong background in statistics with expertise in financial analytics, collection analytics, HR analytics, marketing analytics. Proficiency in programming languages like SAS/SQL/Python; knowledge of statistical algorithms is essential.

Candidate should be well versed in Power BI -Advanced Concepts (RLS, Incremental refresh), Power BI Services, Power Automate, Power Apps, Experience & knowledge on Power BI premium license. Ideal candidate should have at least 5 years of experience in building complex power BI dashboards and should have ability to Power BI service-related activities. Developing visual reports, dashboards, and KPI scorecards using Power BI desktop. Knowledge on Connecting multiple data sources, importing data, and transforming data for Business Intelligence. Excellent in analytical thinking for translating data into informative visuals and reports. Extensive experience with M and DAX functions. Able to implement row-level security on data and understand application security layer models in Power BI. Organize large datasets in such a way that actionable insights can be extracted. This may include finding innovative ways to integrate datasets.

Job Information Job Opening ID ZR_2158_JOB Date Opened 14/03/2024 Industry Technology Job Type Work Experience 6-10 years Job Title Power BI Developer City Bangalore Province Karnataka Country India Postal Code 560004 Number of Positions 10 Candidate should be well versed in Power BI -Advanced Concepts (RLS, Incremental refresh), Power BI Services, Power Automate, Power Apps, Experience & knowledge on Power BI premium license. Ideal candidate should have at least 5 years of experience in building complex power BI dashboards and should have ability to Power BI service-related activities. Developing visual reports, dashboards, and KPI scorecards using Power BI desktop. Knowledge on Connecting multiple data sources, importing data, and transforming data for Business Intelligence. Excellent in analytical thinking for translating data into informative visuals and reports. Extensive experience with M and DAX functions. Able to implement row-level security on data and understand application security layer models in Power BI. Organize large datasets in such a way that actionable insights can be extracted. This may include finding innovative ways to integrate datasets. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Positions Available:- Recruitment Manager-IT Prior US Staffing/US Recruitment experience in IT domain will be considered Role & responsibilities Assign requirements as soon as they come in from the VMS. Work with RM and Recruiter to get the requirements assigned as they come out of the system. Read the job description before assigning. Highlight the required skills for the job before sending it to the recruiter. If not enough info on the requirement or the rates are not appropriate, or any details are missing then work with the Account Manager to get additional info for the recruiting team. Analyze the availability of recruiters, check to confirm availability with the Recruiting Manager and assign the requirements to the available recruiters. Ensures requirements are assigned ASAP without any delay. Make sure submissions are made within 24 hours of the requirements being assigned or in lesser time for HOT reqs. Follows up with recruiters on submissions/updates. Quality checks of the resumes before submissions Accepts and rejects requirements in the system (VMS) Communicate all heads-up requirements from the Account Managers to the recruiting team. Liaison between Account Manager and Recruiting team members. Daily report generation on performance. Make recommendations and come up with strategies on how to improve delivery as well as our numbers on those clients. Make sure all the submittals follow and maintains client policies, procedures and guidelines. Auditing submissions as well as all activities around the assigned clients Monitor and follow up on all emails and other documents as well as communication on the clients assigned. Keeps track of interview notification emails and ensure AM's are sending interview requests on all candidates. Ensures offers are closed and sent out accurately and within time. Preferred candidate profile Prior recent US Staffing experience is mandatory at least 7-10 Years Perks and benefits Competitive Base Salary Lucrative Incentive Structure Rewards & Recognition KINDLY SHARE YOUR UPDATED CV TO anu@iconma.com; Call me on 7985915705 FOR MORE DETAILS. Anu Sharma Lead-TA-HR ICONMA LLC

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

Job Description: We are seeking an experienced Data Scientist with expertise in advanced machine learning techniques to join our dynamic team. The ideal candidate will have hands-on experience developing and deploying models using ensemble methods and other cutting-edge ML algorithms, mostly in the US banking domain. Key Responsibilities: Develop and help deploy advanced machine learning models, including ensemble techniques, for customer lifecycle use cases (e.g., prescreen, acquisition, account management, collections, and fraud). Collaborate with cross-functional teams to define, develop, and improve predictive models that drive business decisions. Work with large datasets, utilizing tools like Python and SQL , to extract, clean, and transform data for modeling purposes. Ensure model robustness, interpretability, and scalability within banking environments. Strong problem-solving skills with the ability to handle complex datasets and turn them into actionable insights.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Job Title: Cluster Assistant Job Description: We are hiring a candidate whose responsible for assisting cluster in Sales Division. Role & responsibilities Calendar management and coordination:- meetings invites, agendas, luncheon arrangements, travel plans and department activities, meeting room bookings etc. Support logistics of internal and off site events through associated tasks:-booking conference rooms, requisitioning audio visual equipment, making copies, scheduling meetings and booking meeting rooms, gathering data, coordinating on RSVP tracking etc. Coordinate with external vendors:- on event logistics as required (ex. Off sites, OGSM meetings, promotion letters etc.) Maintain organization mailing lists, prepare organization announcements etc. sales domain:- collated end of day sales reports from multiple sales people and share insights on the sales trends for the day vs last day last week this year etc. , calculated sales incentive for sales persons based on their monthly earning etc. HR domain:- Worked on offline payroll management (excel based), computed monthly PF PT IT data and sent to payroll consulting firm, tracked inputs from talent team on relocation, joining bonus etc. etc. Requirements: Medium knowledge of scorecards, travel management, calendar management. Experience : 1-3 years Location : Kolkata

Roles and Responsibilities Review and Analysis of historical loan data to understand the pattern from default point of view Apply statistical tool to analyze the pattern and come with detailed assessment Review and Prepare risk dashboard for management which shows all important risk parameters Develop rating model/scorecard for various retail and corporate loans based on historical data Testing of scorecard/model on a regular basis and update Coordinate with various stakeholder for the rating model implementation Prepare and maintain database of loan product from risk assessment point of view Ensure data is correctly captured in the system and coordinate with different team to fix the issue Coordinate with IT team for the automation of credit approval process Review and Preparation of regular credit risk reports for Board meeting and other management committee meeting consumption Manage a small team to monitor the performance of the asset portfolio Provide regular inputs for risk analytics and detailed data points impacting portfolio quality Coordinate with IT team for various project i.e. NPA, Perfios, Scorecard etc. Preparation of Bank wide Risk Dashboard to reflect Risk trend of the Bank Relevant Experience: Overall 7 + plus years of experience in Banking (preferably Risk). Technical Competencies: Good understanding of Credit risk related jargons like balance sheet, income statements, asset inventory statements Good understanding of various regulatory reports of credit risks Good command of Excel, SQL, etc. Analytical skills as well as a thorough understanding of banking laws, regulation, and policies and the ability to apply and explain complex regulatory, financial, and analytical concepts Interested candidate can share their resume on adarsh.pandey@utkarsh.bank

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

Job Description: Understanding of Basel Framework, PD, EAD, LGD and Regulatory Capital. Proficiency in SAS and Python for Model Development Good Understanding of Regulations and has experience of IRB Model Development Good understanding of retail credit risk products and their key variables.

Job summary We are seeking an experienced Business Analyst with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Business Services Business Scorecard and Business Intelligence. This hybrid role requires a strong analytical mindset and the ability to translate business needs into actionable insights. The position operates during day shifts and does not require travel. Responsibilities Lead the analysis of business requirements and translate them into technical specifications. Oversee the development and implementation of business scorecards to track key performance indicators. Provide insights and recommendations based on business intelligence data to drive strategic decisions. Collaborate with cross-functional teams to gather and document business requirements. Develop and maintain comprehensive documentation of business processes and systems. Ensure the accuracy and integrity of data used in business intelligence reports. Conduct regular reviews of business processes to identify areas for improvement. Facilitate workshops and meetings to gather requirements and present findings. Monitor and report on the progress of business intelligence projects. Support the development of business cases and project plans. Provide training and support to end-users on business intelligence tools and systems. Ensure compliance with data governance and security policies. Stay updated with the latest trends and technologies in business intelligence and analytics. Qualifications Must have strong experience in Business Services Business Scorecard and Business Intelligence. Should possess excellent analytical and problem-solving skills. Must have the ability to translate business needs into technical specifications. Should have strong communication and collaboration skills. Must be proficient in using business intelligence tools and software. Should have experience in developing and implementing business scorecards. Must have the ability to work independently and manage multiple projects simultaneously. Should have strong documentation and reporting skills. Must be detail-oriented and have a strong focus on data accuracy. Should have experience in conducting workshops and meetings. Must have the ability to provide training and support to end-users. Should have knowledge of data governance and security policies. Must be willing to stay updated with the latest trends and technologies in business intelligence and analytics. Certifications Required Certified Business Analysis Professional (CBAP) or equivalent certification preferred.

Role/ Job Title: Risk Lead (rural unsecured loans) Function/ Department: Retail Business Risk Roles & Responsibilities: Evaluate Product programs/Policies in line with regulatory guidelines and build strong controls to mitigate risks across all spectrums (Onboarding, Credit, Operations, Fraud, Reputation etc.). Monitor portfolio delinquencies at a micro level, identification of segments, locations and profiles which are delinquent. Assure adherence to the guidelines set by the bank. Facilitate implementation of technological interventions like scorecards, digital journeys, and automation to streamline processes. Shape the risk appetite of the product in line with growth objectives and Risk Appetite framework of the bank alongside risk-based pricing. Use analytics for tracking portfolio performance trends. Serve as a policy expert and conduct training when needed. Prepare monthly newsletter - snapshot of Portfolio performance, monthly acquisition trend, quality of portfolio and trigger monitoring. Capture and share best- practice knowledge amongst the team. Recommend improvements to processes and policies across the Retail Banking business to drive operational efficiencies and high-quality customer service. Leverage in-house synergies through collaboration with internal stakeholders. Keep abreast of 4global market trends and competitor strategies in key markets. Monitor key parameters on productivity, hiring quality and costs via maintaining relevant scorecards. Build, groom and retain top-class talent pool to enable high levels of process efficiencies. Attract and retain best-in-class talent for key roles in their reporting structure

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SAS, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Job Purpose:Provide in-depth analysis and feedback to supervisors and product, policy, collections, and fraud risk teams within the Bank. Build scorecards to assess portfolio behaviors, with a strong emphasis on credit analytics and digital innovation in lending processes.Job Responsibilities: Core Credit Analytics Focus: Analyze loan portfolio behaviors, build and maintain scorecards, and provide actionable insights to enhance decision-making for product, policy, collections, and fraud risk teams. Digital Innovation in Lending: Understand the loan processing environment for various products from an innovation perspective, identify digital opportunities, and implement projects to optimize lending journeys based on opportunities identified by the Team Lead. Project Management: Manage the complete lifecycle of digital projects, including requirement gathering, working with IT/BTG for vendor identification, FPN approval, UAT testing, and other support to ensure successful project go-live. Collaboration with IT: Work closely with IT counterparts to ensure seamless project management and execution of credit analytics and digital initiatives. Fintech Engagement: Explore and engage with Fintechs, evaluate their solutions, and implement those that align with organizational goals, particularly in credit and lending areas. Educational Qualifications: MBA, CA, FRM, or CFA (mandatory). Key Skills: Minimum 1 year of hands-on experience with Python (non-negotiable) for data analysis, modeling, and automation. Strong technical and analytical skills with expertise in credit analytics. Proficient in Excel modeling and financial statement analysis. Excellent written and verbal communication skills. In-depth knowledge of banking products, processes, accounting principles, and regulatory frameworks. Awareness of competition and current trends in the financial industry. Additional Requirements: Ability to work in a fast-paced environment and deliver actionable insights. Strong problem-solving skills and attention to detail. Why Join Us? Opportunity to work on cutting-edge credit analytics projects and drive digital transformation in lending. Collaborate with top-tier teams in a dynamic banking environment. Grow your career with a focus on innovation and strategic impact. How to Apply:Interested candidates with at least 1 year of Python experience and the specified qualifications are encouraged to apply. Please upload your resume and cover letter highlighting your Python experience and credit analytics background.

Role Competencies - Experienced in development of credit risk models for BASEL reporting, PD, LGD, EAD and/ stress testing or should be well versed with understanding of these concepts Skilled in development of internal and external risk models by computing standard metrics Skilled in developing and analyzing product-specific solutions within banking domain varying across underwriting/monitoring loan portfolios, developing collections scorecards, loss forecasting amongst others Ability to work with key stakeholders across businesses, client portfolio teams to derive insights and calibrate model performance Ability to present the findings of the analysis to stakeholders and hold presentations for a larger audience Ability to drive discussions with the stakeholders and present the findings / summary of the project activities

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon/Pune Notice: Immediate only..!! Key Skills: SAS, Advance SQL, Credit Risk Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: 3+ years exp in SQL, risk analytics, strategy Building, Credit risk, Financial risk, Portfolio risk tools Interact with the client to understand their requirements and communicate / brainstorm solutions. Strong knowledge in SQL queries & BI tools, Advance SQL Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems Participate in design of analysis and modeling approach with managers and modelers Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issues Use variety of analytical tools (SQL, Python, Tableau/Power BI) for insight generation & enabling the client with data driven decision making Reformulate highly technical information into concise, understandable terms for presentation

Job Description: We are seeking a highly skilled Business Analyst with extensive experience in healthcare metrics. The ideal candidate will develop a deep expertise in all scorecard metrics and take ownership of delivering accurate, timely metrics on a monthly cycle. Key responsibilities include: Data Delivery: Own the data delivery calendar, understand the caveats of every data set, and ensure timely delivery. Process Management: Stay on top of changes, logic, certification processes, delivery processes, prioritization, and removing blocks for the development team. Data Quality: Responsible for validation and ensuring data quality. Stakeholder Communication: Confidently work and communicate with stakeholders throughout the organization. Product Ownership: Exhibit an extreme sense of product ownership and a proactive approach to communication and delivery. Process Development: Develop and refine processes to improve efficiency. Quality Assurance: Understand QA principles and manage a QA analyst. Mandatory Requirements: Healthcare Experience: Must have experience working with a wide variety of healthcare metrics across domains. Communication Skills: Ability to work and speak confidently with stakeholders. Proactive Approach: Very proactive in communication and delivery. Process Development: Ability to develop and refine processes. QA Management: Understands QA principles and can manage a QA analyst Location: Pune/Mumbai/Bangalore Experience: 10 to 15 years of relevant experience Notice Period: 60 days max Mandatory Skills: Business Analysis, Metrics & Data Quality Application Instructions: If you are interested in the above job profile, please share your resume with manojkumar.sampathkumar@citiustech.com along with the following details: Total experience: Current CTC: Expected CTC: Notice period: Preferred location (Mumbai/Pune/Bangalore)

Skill required: Insight Engine - Analytics Insights Designation: Analytics and Modeling Analyst Qualifications: Any Graduation Years of Experience: 2+ years What would you do? "The Midmarket Demand Data Services role involves supporting a global data program to help Accenture Midmarket marketing meet strategic goals by providing accurate, reliable, and actionable data and insights for demand. The role will act as a Marketing data champion, driving a cultural shift to fully embrace and leverage data as a driver of our demand generation and will ensure the accuracy of demand metrics such as leads, opportunities, originated pipeline and sales for the Mid Market. The role will raise standards in data usage, governance, process, and enabling self-service analytics through training and change management practicesReporting to the midmarket Demand data and automation Lead, the role includes working with developers and data scientists in Analytics CoE to understand and influence the demand insight and analytics framework, and understand trends affecting marketing performance, create and deliver training to help marketers leverage insights from the data and take action. The role also includes tagging opptys to marketing programs where our automation processes might be circumvented by sales. In addition, this role will drive new data-focused initiatives to identify and implement next best action Intelligent Marketing program. 2+ years of experience and prior Marketing or insights and analytics experience, preferably with a global company. Broad understanding of data and analytics concepts, current trends, and related technology landscape Experience with large-scale analytics and Data Visualization Tools Domain knowledge in marketing and social media strategies, digital marketing campaigns, and campaign performance metrics is helpful. Must possess strong problem-solving skills, excellent written and verbal communication skills for understanding user requirements and a committed drive to constantly learn and master new skills and technologies. Collaborative approach, working in partnership with campaign marketing and area marketing team. Comfort working in ambiguous situations and ability to problem-solve Responsive, collaborative, and hands-on" What are we looking for? " Tableau Digital Marketing Campaigns Data Analytics Written and verbal communication Problem-solving skills Collaboration and interpersonal skills Detail orientation Strong analytical skills " Roles and Responsibilities: " Manage tagging exceptions and manage attribution of marketing to demand outcomes. Manage the end-to-end marketing measurement and reporting framework, enabling accurate reporting during quarterly marketing business reviews. Train users on how to use Power BI scorecards and insight dashboards to help them place data at the core of their operations and decision-making. Manage marketing Unified Insight Framework and create Marketing Insights and Analytics homepage and training content materials in SharePoint hub. Empower marketing teams to use self-service analytics and insights generation tools to perform their day-to-day analytics tasks independently. Respond to ad-hoc data/insight requests, decoding requirements and passing them to data scientists/ developers. Stay on top and communicate about data outages, issues, and downtime. Help area marketing teams establish yearly targets and watch for trending changes in our data to anticipate performance issues that may affect our targets. Monitor and pioneer the use of Microsoft Power Apps for data input and automation. Maintaining target account lists across several dashboards and marketing technology stacks. Uploading data into 3rd party ABM tools, maintaining and tweaking parameters/account lists to accommodate changes in business requirements. Perform data validation between the Marketing technology stack and Azure Synapse to make sure API calls are transmitting accurate data."