nalytics Manager (SQL, R/Python)- Hoboken NJ - Hybrid Description: <ul> <li> Responsible for defining, enforcing and promoting policies and programs to ensure best in class Customer Experience and hence drive Customer Satisfaction across our marketplace business. Core Functions include: - Design and build reports, scorecards and dashboards - Generate insights, trends and actionable recommendations, leading to implementation of initiatives and projects - Ability to build relationships and work cross functionally within partners teams (including Sales, Media Insights, Marketing teams) </li> </ul> dditional Job Details Role Specific Responsibilities <ul> <li> Collaborate with theClient Connect Sales and Marketing teams for the development, execution and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities </li> <li> Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders </li> <li> Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys </li> <li> Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis and translating data into meaningful insights and actions. </li> <li> Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what clearly for Client Connect advertisers </li> <li> Support development of executive level presentations and perspectives </li> <li> Identify gaps and opportunities for improving existing data sources and engage with broader </li> <li> Client teams to acquire and summarize these sources within the Client Connect environment </li> <li> Support the Sales/Marketing teams in managing day-to-day operating activities and special projects </li> </ul> Basic Qualifications <ul> <li> Bachelor's degree in statistics, mathematics, economics, operations research, marketing analytics, or any related quantitative field AND 3-5 years of experience in analytics, consulting, retail, media, and/or other relevant industries. </li> <li> MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments </li> <li> Strong programming skills in R/Python </li> <li> Must have hands on data analytics experience </li> <li> Practical experience in mining, analyzing and interpreting data through various statistical </li> <li> techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning) </li> <li> Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint) </li> <li> Experience in developing and presenting strategic, action-oriented oral & written </li> <li> communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience. </li> </ul> Preferred Qualifications <ul> <li> Master's Degree </li> <li> Proficiency in BI Tools (e.g. Tableau, Power BI, Omniture/Adobe Analytics) </li> <li> Self-starter looking to develop and apply analytical frameworks to help solve complex open- ended business questions with relevant data. </li> <li> good balance of strong analytical skills and thought leadership </li> <li> Thrives under pressure, balancing multiple workstreams and priorities </li> <li> Team player who can thrive in fast-paced, results-oriented environment. </li> <li> Trust based, strong relationship builder with internal and external partners </li> <li> Interesting, multi-faceted personality who can deliver 5-star output and can also have FUN </li> <li> t work </li> <li> Familiarity with Ad Servers, DSPs, DMPs, onsite & offsite targeting, & identity graphs a plus </li> </ul>

As a Data & Analytics Manager, the candidate will be responsible for data governance, data manipulation, data integration, data acquisition, building metrics and report generation. Successful candidate will be very hands on analyzing raw data, developing, and maintaining datasets, improving data quality and efficiency and deliver data-based insights and solutions. The candidate will own end-to-end delivery of data products, systems and data journey for given business processes supported by data analytics. Responsibilities <ul> <li>Leads a data delivery team onshore / offshore and delivers Business Intelligence metrics, reports, data conversions and mapping. </li><li>Collects, clarifies and translates data requirements into documentation and conceptual design. </li><li>Elicits requirements using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, tasks, and workflow analysis. </li><li>Being accountable and own the development, delivery and documentation of data management and BI solutions (analytics, reporting, dashboard). Create roadmap, milestones for maturing the analytics and management space. </li><li>Responsible of working on data dictionary, data mapping, data lineage and data transformations keeping close attentions to data integrity, data quality and timely delivery of the relevant data. </li><li>Designs and implements data solution by inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. </li><li>Evaluates organizational methods and provides source-to-target mappings and information-model specification documents for data sets. </li><li>Support data storage and integration solutions including databases, warehousing and BI solutions. </li><li>Maintains a holistic view of information assets by creating and maintaining blueprints that illustrate how information is stored, processed, and accessed </li><li>Create dashboards, KPIs and build data visualizations to draw up trends, patterns, and outliers. Modify existing reports, extracts, dashboards, and cubes as necessary. </li><li>Design and maintain data models used for reporting and analytics by extracting data from structured and unstructured sources. </li><li>Help the broader team identify new features and business opportunities through data analysis. </li><li>Enable self-service BI capabilities for users to be able to slice and dice information as needed. </li><li>Monitor and tune BI tools, data integrations to ensure optimum level of performance. </li><li>Strong hands-on experience with Azure cloud, data services, SQL, Integration toolsets, PowerBI. </li><li>Responsible of working on data dictionary, data mapping, data lineage and data transformations keeping close attentions to data integrity, data quality and timely delivery of the relevant data. </li><li>Creates best-practice reports based on data mining, analysis, and visualization </li><li>Develop & Maintain inventory of the enterprise data. Ensuring adherence to an enterprise data governance framework for data practices, policies, and standards both at a technical and functional level. </li><li>Lead ad-hoc business deep dive analysis and present findings to senior leadership. </li><li>Propose data schema and data flow optimization for reporting performance and enhancement as needed. Uses current knowledge of business and technology to recommend systems and process improvements. </li><li>Partners with architecture and solution delivery teams to enable BI/data applications that have long-term value. </li><li>Identify and implement automation across development and delivery processes </li></ul>Requirements and skills <ul> <li>Bachelor's or Graduate's Degree in computer science, engineering, mathematics, or information systems. </li><li>Strong understanding of data engineering principles and processes </li><li>8+ yrs Experience with SQL, SQL Server, ETL, SSRS, SSIS, PowerBI, SSAS software, systems, and programs. </li><li>8+ yrs Experience with Agile, Python, Datawarehouse (Azure Data warehousing), Azure Cloud, TSQL, and R language software and systems. </li><li>6+ yrs Experience with Data ingestion, Data processing and Data publishing methodologies </li><li>Fluent in statistics, datasets, and scripting. </li><li>Understanding data modeling, data schemas (normalized, flat, star, snowflake, etc.). </li><li>Understanding database operations and optimization for RDBMS like SQL Server </li><li>Experience in extracting data from structured (RDBMS) and unstructured sources (flat files) </li><li>Understanding data and query optimization, query profiling, and query performance monitoring tools and techniques. </li><li>Creating and maintaining business requirements and other technical documentation. </li><li>Proven experience in leading engineering teams. </li><li>Possess excellent problem solving, analytical and communication skills </li> </ul>

We are: The Accenture SAP Business group helps clients modernize their SAP footprint, move to the cloud, and ultimately drive a competitive advantage through industry specific solutions. Within SAP BG, our practitioners focused on SAP Data and Analytics focus on the data and analytics solutions for our clients, either as a part of their SAP transformation journey, or as a stand-alone modernization initiative. Majority of our SAP clients have implemented a variety of technologies, and we help them implement hybrid Data & Analytics solutions based on their business needs and industry trends. Ready to learn as much as you can? We train our people on "Compressed Transformation" SAP like S/4HANA and Cloud, and we offer classes and support through our 50,000+ member community. Its also nice to know our hard work doesnt go unrecognized. Accenture is the number one industry recognized integrator for the top three Hyperscale Cloud providers (Microsoft Azure, Amazon Web Services, and Google Cloud Platform)and weve helped transform hundreds of companies to the Cloud. We have received countless awards such as Pinnacle awards from SAP as well. You are: SAP Analytics professional with extensive experience selling, solutioning and delivering Analytics solutions for SAP customers. SAP Analytics professionals design, implement and deploy SAP Analytics solutions for our customers across industries, including SAP S/4 HANA, SAP Datasphere, DWC, SAP BW/4 HANA, SAP Enterprise HANA and SAP Analytics solutions (SAP Analytics Cloud, SAP BOBJ). The Work: A professional at this position level within Accenture has the following responsibilities: + Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors. + Closely follows the strategic direction set by senior management when establishing near term goals. + Interacts with senior management at a client and/or within Accenture on matters where they may need to gain acceptance on an alternate approach. + Has some latitude in decision-making. Acts independently to determine methods and procedures on new assignments. + Decisions have a major day to day impact on area of responsibility. + Manages medium-large sized teams at a client or within Accenture. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need: + Minimum of 5 years experience with SAP Analytics + Experience with a minimum of 3 project implementations with SAP HANA SQL and/or SAP S/4 HANA + Minimum of 5 years experience with BI and Analytics + Minimum of 5 years experience with Data Warehousing and Database Concepts experience + Minimum of 5 years experience with development of complex conceptual and logical data models + Bachelor's degree or equivalent (minimum 12 years' work experience). If Associates Degree, must have equivalent minimum 6-year work experience Bonus Points if: + You have excellent communication (written and oral) and interpersonal skills + You have SAP HANA S/4 (CDS Views) + You have SAP Analytics Cloud + You have SAP Datasphere, DWC, BW/4HANA / S/4HANA + You have experience with data integration from multiple source systems + You have prior consulting experience + You have experience with database development using Big Data/Cloud technology (AWS, Azure, GCP) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards) Role Location: Annual Salary Range: California $93,400 to $258,500 Colorado $93,400 to $223,300 District of Columbia $99,500 to $237,800 New York $86,500 to $258,500 Maryland $86,500 to $206,800 Washington $99,500 to $237,800 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce) Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.**Need Help? (https://www.brainshark.com/bbandt/careers-site-faq)_If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (careers@truist.com?subject=Accommodation%20request)__(accommodation requests only; other inquiries won't receive a response)._**Regular or Temporary:**Regular**Language Fluency:** English (Required)**Work Shift:**1st shift (United States of America)**Please review the following job description:**Oversee the analytics processes for one or more of the channels within Dealer Retail Services (DRS) by using analytical and statistical techniques to support credit policy, loss forecasting, pricing, origination scoring, fraud risk scoring, automated decisioning, default management, dealer management, sales segmentation, etc. Work with other members of the analytics team, as well as stakeholders around the bank to convey the results of analyses to bring consensus to proposals that generate revenue and/or create efficiency for DRS. Provide analytical support to one or more of the Dealer Retail Services line of business channels to recommend and enable fact-based, data-driven risk management actions, and program implementation decisions.Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.1. Develop models or collaborate with model developers/vendors to support custom origination scoring, fraud risk scoring and elasticity modeling used in pricing. Support model monitoring and governance requirements of predictive models and quantitative decision tools as required by the model risk group.2. Understand and quantify the risk return tradeoffs and build analyses related to the credit box to support pricing, credit policy, loss forecasting and other general changes in risk appetite.3. Create efficiency by building and maintaining automated production of interactive reporting dashboards for DRS senior leadership and business stakeholders for various areas of lending operations, including credit & servicing/collections.4. Work on a variety of other analyses to support multiple areas of the business including default management, dealer management and sales management, etc. including critical business activity reporting for use by channel SMEs to track detailed performance.5. Communicate analytics design and results to other risk teammates as well as other stakeholders within the bank to build consensus based decisions.6. Participate in DRS risk and strategic analytical projects. This role will play an active role to lead the design and execution of projects for single channel initiatives, and actively participate in broader projects that span across all of DRS.7. Organize and maintain key data, metrics, and benchmarks describing production, portfolio, and dealer performance and efficiency attributes. Recommend and/or support DRS transformation strategies and initiatives based on analysis of the data.8. Identify and evaluate new data sources and vendors to provide the best information for effective analysis and decision making.**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site (https://benefits.truist.com/). Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.**_Truist supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. Truist is a Drug Free Workplace._**EEO is the Law (https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf)Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf)E-Verify (https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf)

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Analytics Manager Jobs in Atlanta, GA

Analytics ManagerNovember 19, 2024

Cloud Data Analytics Manager Financial ServicesinsuranceNovember 12, 2024

Sap Analytics ManagerNovember 5, 2024

Data Analytics ManagerNovember 4, 2024

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