For the given job description <<Primary PurposeThe JPI Group is seeking a Business Analyst (BA) to join our rapidly growing team. The successful candidate will provide analytical support for our utility-led energy efficiency incentive programs by collecting, analyzing, and reporting program data. This role will also serve as the programs point of contact with IT Teams to manage, improve and test program databases.
Tasks May IncludeCompile and analyze program and project level data such as energy savings, incentives, and application statusDevelop and run reports, processes, graphs, and dashboards to track key program performance metrics, including forecasting energy savings, tracking budgets and client invoicesDevelop, streamline, document, and automate program processesUtilize group-wide and ad hoc databases for analysis and reportingPerform a critical analysis of program data to identify operational and data anomalies and exceptionsQuickly translate data and accompanying analysis into internal, client, and management presentationsManage and perform quality control on reports and analysesManage backend processes to provide cadence reporting to the client and in-house finance and accounting teamsNotify manager of projected anomaliesPrepare backend data to make ready for other parties to processFollow and enforce QAQC processesAssist with trade ally managementDocument role to ensure continuity of workManage small initiatives to completionContinuous improvement of backend tools and client deliverablesOther tasks as neededWhat were askingBachelors degree in the analytic discipline.Three to Five years of experience compiling and analyzing data and producing data-intensive reportsHigh attention to detail and reporting precisionUnderstanding of and management within large utility-client bureaucraciesA proven and demonstrable grasp of data analysis tools such as Power BI, Oracle, SQL Server, Excel or equivalentHigh Degree of Proficiency with Excel inclusive of Pivot Tables, Data Management Tools, and advanced formulas and functionsDemonstrated analytical abilities to develop and implement resolutions for business challenges and issues.Willingness and ability to travel, via airplane, as required up to approximately 10% of the year.Preferred SkillsFive to Eight Years of energy efficiency experiencePrior experience in market research inclusive of market analysis, market assessment, and market segmentationFamiliarity with energy savings analysis and modeling toolsProficiency in and understanding of accounting concepts (invoicing, accruals, forecasting, etc.)Familiarity with data reconciliation applications (e.g. month-end accounting reconciliations, accruals, inventory reconciliations, etc.)Excellent oral and written communications skillsPrior participation in complex database management system projects. Experience with JIRA is desiredPrior project experience in data mining andor analytics initiativesPro-active approach to the analytical tool and analytical model developmentPositive, collaborative, and team-oriented attitudePassion for energy and sustainability>> 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, Good Fit

Fit assessment: Good Fit