For the given job description <<Provides analysis to different functions such as ManufacturingOperations, SIOP, Sales, Customer Service, Sourcing, Finance, Digital and management of the entire business in reviewing, analyzing, documenting and validating user requirements, applications and processes. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business growth in the current and new revenue streams.
Key Responsibilities
Gathers and evaluates data from multiple sources. Analyzes, reconciles and identifies measurable opportunities for improvement. Identifies and implements audit processes to ensure data issues are identified, tracked, reported and resolved in a timely manner. Develops and maintains processes to continuously monitor data quality and integrity across the business. Creates and maintains workflows and approval processes based on internal stakeholder requirementsActs as subject matter expert for new processes, KPIs, and data management. Collaborates with external and internal customers to analyze information needs and functional requirements. Partners with various leaders to design optimal solutions that meet the business needs of our internal and external customers. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Develop custom data models and algorithms to apply to data sets. Mine and analyze data from company databases and web platforms to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. 
Professional ExperienceQualifications
Have at least 3-5 years of experience as Data Analyst or a related field. Candidate must possess at least a Bachelors Degree. Detail oriented and accurate. Proficient in MS Excel (including pivot tables). Strong analytic skills related to working with structured and unstructured datasets. Flexible, able to work on own initiative, deal with more than one project at a time, can work under pressure and tight deadlines, and prioritize tasks accordingly. Very good communication skills, verbal and written. Self-starter and a strong team player. Sophisticated problem-solverHigh knowledge of Power BI or similar analytics toolsStrong knowledge of Google Analytics, Adobe Analytics or other web analytics platforms. Python andor R language experienceSolid experience building Microsoft Power Apps and in Power AutomateExperience in visualizationStrong understanding of SQLOracle Knowledge
Benefits
Medical, Dental, Vision and Prescription Drug CoverageSpending accounts (HSA, Health Care FSA and Dependent Care FSA)Paid Time Off and Holidays401k Retirement Plan with Matching Employer ContributionsLife and Accidental Death & Dismemberment (AD&D) InsurancePaid LeavesTuition Assistance
About Regal Rexnord
Regal Rexnord Corporation (Regal Rexnord) is a leading manufacturer of electric motors, electrical motion controls, power generation and mechanical power transmission products and sub-systems, serving customers around the world in the general industrial, consumer, commercial construction, food & beverage, and alternative energy end markets, among others. Regal Rexnord sells its products and solutions to OEMs, through distributors, and directly to end-users. Regal Rexnord is a $7.2B company with 36,000 associates globally.
You may not know it, but Regal Rexnord impacts your life every day. The companys products enable the fans in HVAC systems that keep us comfortable; the power source that keeps smart buildings running; the agricultural and food service equipment that keeps us fed; and the conveyer systems that keep e-commerce flowing, to name a few of the applications where our products are used.
Regal Rexnords business purpose is to create a better tomorrow by energy-efficiently converting power into motion. This means creating innovative solutions while focusing on both customer needs and the companys commitment to sustainability. The companys industrial powertrain and automation solutions offerings are an important part of the company's growth strategy. The companys strategy includes leveraging 8020 to prioritize all activities, including product excellence, operational excellence and commercial excellence (i) driving organic sales growth through the introduction of innovative new products, with a particular focus on improving energy efficiency, (ii) establishing and maintaining new customers, as well as developing new opportunities with existing customers, (iii) participating in higher growth end markets and geographies, and (iv) identifying and consummating strategic, value creating acquisitions.
Equal Employment Opportunity Statement
Regal Rexnord is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexgender, sexual orientation, gender identity, age, ancestry, national origin, marital status, citizenship status (unless required by the applicable law or government contract), disability or protected veteran status or any other status or characteristic protected by law. Regal Rexnord is committed to a diverse and inclusive workforce. We are committed to building a team that represents diverse and inclusive backgrounds, perspectives, and skills.
Notification to Agencies: Please note that Regal Rexnord Corporation and its affiliates and subsidiaries ("Regal Rexnord") do not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement or similar contract and approval from HR to submit resumes for a specific requisition, Regal Rexnord will not consider or approve payment to any third-parties for hires made.>> the resume: <<Professional SummaryEnergetic Data Engineer in developing robust code for high-volume businesses. Strong decision-maker with 6 years of experience in Data engineering and help firms in designing and executing solutions for complex business problems involving large scale data warehousing, real-time analytics and reporting solutions. Ability to translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies.
SkillsPython 3.x, R, SQLHadoop, Apache SparkHive, Pig, Kafka, Sqoop, OozieTeradata, SnowflakeAmazon S3,EMR,LambdaGit, Jenkins, SplunkMS OfficeMicrosoft Visual C#.NET
EducationThe University Of Texas At DallasRichardson,TXExpected in4 2020––Master of Science:Business Analytics-GPA:
Work HistoryAvanade-Data EngineerBangor,ME,04/2020-CurrentCombining data from multiple source systems (Profile, Systematics, etc..) and multiple platforms (Snowflake, OneLake, Hubs) and computing canonical gold-star metrics “once and for all” to cut operational costs.Develop Spark jobs to transform data and apply business transformation rules to load/process data across enterprise and application specific layers.Experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS.Configured S3 buckets with various life cycle policies to archive the infrequently accessed data based on requirement.Good working experience on submitting the Spark jobs which shows the metrics of the data which is used for Data Quality Checking.Working on building efficient data pipelines that transform high volume data into a format used for analytical, fraud prevention and ML use cases.Extensively used Splunk Search Processing Language (SPL) queries, Reports, Alerts and Dashboards.Excellent knowledge of source control management concepts such as Branching, Merging, Labeling/Tagging and Integration, with tool like Git.Performing Data Quality checks like row count, schema validation, Hash key validation for all data movement between applications.Avanade-Data EngineerBurlington,NC,08/2019-04/2020Responsible for designing and developing various analytical solutions for gaining analytical insights into large data sets by ingesting and transforming these datasets in the Big Data environment using technologies like Spark, Sqoop, Oozie, HIVE.Scheduling jobs to automate the process for regular executing jobs worked on using Oozie.Developed Oozie workflow schedulers to run multiple Hive and Pig jobs that run independently with time and data availability.Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining,machine learning and advanced data processing.All the projects which I have worked for are Open Source Projects and has been tracked using JIRA.Parallel copying of files between various clusters using Distcp, Kafka in Hadoop.Ascend Learning-Data Scientist InternMemphis,TN,09/2018-12/2018Acquire, clean, integrate, analyze and interpret disparate datasets using a variety of statistical data analysis and data visualization methodologies, reporting and authoring findings where appropriate.Developed Linear Mixed Effects Models for Boston Ed-fi dataset to estimate the teacher contribution to the student test scores.Random intercept model which utilized a pre-post-test design and included fixed effects for student demographics and a growth model where students were nested by time (random slope and intercept) and teacher was tested.Generated various Clustering models for entire West Virginia department of education and evaluated cluster’s performance.Verizon-Big Data Engineer,,01/2014-07/2017Identify customer's digital analytical needs and engage with customer and principal architects daily, understand the business requirements for big data analytical solutions and break down large scale requirements into detailed system specifications.Moving data to HDFS framework using SQOOP from Teradata, SQL Server.Good working experience on Hadoop tools related to Data warehousing like Hive, Pig and also involved in extracting the data from these tools on to the cluster using Sqoop.Solved performance issues in Hive with understanding of joins, groups, bucketing, partitions and working on them using HiveQL.Deployed programs written in PySpark to run Spark MLlib, for analytics and reduced customers churn rate by 25%.
SkillsPython 3.x, R, SQLHadoop, Apache SparkHive, Pig, Kafka, Sqoop, OozieTeradata, SnowflakeAmazon S3,EMR,LambdaGit, Jenkins, SplunkMS OfficeMicrosoft Visual C#.NET>>. The result is, No Fit

Fit assessment: No Fit