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Engaged Employer

Ernst & Young

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3.5

based on 10.2k Reviews

2382 Ernst & Young Jobs

Metrics and Reporting Specialist - Assistant Director

Ernst Young

3.5

based on 10.2k Reviews

8-12 years

Bangalore / Bengaluru

1 vacancy

Metrics and Reporting Specialist - Assistant Director

Ernst & Young

posted 26d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Consulting Project Management Clinical SAS Programming Javascript Analytical Chemistry

+ 3 more

Job Description

Metrics and Reporting Specialist

EY s global enterprise technology group provides various enabling services (ERP, infrastructure, platforms, service desk) to assist over 300K employees in creating and delivering solutions and services to Fortune 500, privately held and government-like entities.

The Reporting Analyst is responsible for the creation, maintenance, and continuous improvement of reporting systems that provide critical business insights. This role involves gathering data from various sources, ensuring its accuracy, and developing reports that inform strategic decision-making. The ideal candidate will have a strong foundation in data analysis, proficiency in reporting tools, and the ability to communicate findings clearly to stakeholders across the organization.

Your key responsibilities

Create data visualizations and implement decision support tools end to end using standard BI reporting tools / advanced analytical tools.
creates prototypes of key data manipulations, visualizations and mathematical modeling elements, validating and refining his/her designs.
Ensure smooth ETL and data flows execution, data assembly, cleansing, validation, data modelling and documentation
Gather data from multiple sources, ensuring accuracy and consistency in reporting.
Analyze data to identify trends, patterns, and insights that can drive business decisions.
Work closely with business units to understand their reporting needs and deliver tailored solutions.
Continuously evaluate and improve reporting processes and tools for efficiency and effectiveness.
Provide training and support to users on how to access and interpret reports.
Collaborate with IT and data teams to ensure data quality and the integration of reporting systems.

Skills and attributes for success

This individual should possess a combination of technical skills, analytical abilities, and leadership attributes

To qualify for the role you must have

8+ years of experience in any reporting and analytics functions/roles with exposure to Enterprise IT, Service Management related metrics and analysis.
Advanced knowledge and in depth understanding of Machine Learning methods, supervised and unsupervised, statistical modeling, mathematical programming with good experience applying Machine Learning methods to business questions.
ServiceNow Reporting with solid understanding of ServiceNow data model
Good knowledge of IT Services functions and their responsibilities and strong analytical and problem-solving ability
The ability to work and team effectively with business, management personnel, and diverse and geographically dispersed teams
Possess innovative mindset by being open to new ideas and works comfortably with global teams

Ideally, you ll also have

Excellent English language skills (verbal and written),
Excellent communication, collaboration and basic project management skills
Good presentation skills with ability to present material clearly and concisely
Excellent awareness of different cultures and working practices across the regions
Proven experience in working in, and basic management of, diverse and geographically dispersed teams

Bachelors degree in Data Science, Computer Science, Statistics, or a related field.
Data science or any other relevant certification is preferred
Solid understanding of a range of statistical and machine learning techniques and algorithms, such as logistic regression, KNN, decision trees, SVM, CNN, etc.
Solid understanding of basic applied statistics: distributions, statistical testing, regression, etc.
Experience with common data science toolkits, such as R, Weka, NumPy, Scikit-Learn, MatLab, etc. High degree of proficiency in at least one
Data Visualization - D3, GGPlot, Power BI, TIBCO Spotfire, Tableau (or hands on with any similar data visualization tools)
SSIS + SSRS + SSAS (MS BI Tools or similar ETL tools like Informatica) and Data Modelling
Experience working with Big Data and tools.
ANSI SQL Queries & Performance Tuning
ITIL Foundation certification is preferred