Business Analyst

Major Areas of Responsibilities

1. Strong fluency with Excel formulas and functions.

2. Strong analytical and data gathering skills.

3. Analyze financial data and create financial models for decision support.

4. Revenue analysis, strategizing for the growth of business.

5. Analyze past results, perform variance analysis, identify trends, and make recommendations for improvements.

6. Work closely with the accounting team to ensure accurate financial reporting.

7. Evaluate financial performance by comparing and analyzing actual results with plans and forecasts.

8. Guide the cost analysis process by establishing and enforcing policies and procedures.

Qualification

1. BE and Btech

2. MBAs are preferred

Skills

- Knowledge of Microsoft Excel, Word and Power Point.

- Great Analytical Skills 

Strong quantitative and analytical competenc

Job Title

Data Analyst

Job Brief

The successful candidate will turn data into information, information into insight and insight into business decisions.

Data Analyst Job Duties

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Responsibilities

● Interpret data, analyze results using statistical techniques and provide ongoing reports.

● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.

● Identify, analyze, and interpret trends orpatternsin complex data sets.

● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.

● Work withmanagementto prioritize business and information needs.

● Locate and define new processimprovement opportunities. 

Requirements

● Proven working experienceas aData Analyst or BusinessDataAnalyst.

● Technical expertise regarding data models, database design development, data mining and segmentation techniques.

● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).

● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).

● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

● Adept atqueries,reportwriting and presenting findings.

Job Location SouthDelhi, New Delhi 

• Act as primary day-to-day contact on analytics to agency-client leads
• Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
• Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
• Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
  
• Ensure data quality and integrity
  
• Interpret and analyse data problems
  
• Build analytic systems and predictive models
  
• Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
  
• Visualize data and create reports
  
• Experiment with new models and techniques
  
• Align data projects with organizational goals

• Min 6 - 7 years’ experience working in Data Science
• Prior experience as a Data Scientist within a digital media is desirable
• Solid understanding of machine learning
• A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
• Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
• A knack for statistical analysis and predictive modelling
• Good knowledge of R, Python
• Experience with SQL, MYSQL, PostgreSQL databases
• Knowledge of data management and visualization techniques
• Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
• Evidence of technical comfort and good understanding of internet functionality desirable
• Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
• Proactive and results-oriented
• A positive, can-do attitude with a thirst to continually learn new things
• An ability to work independently and collaboratively with a wide range of teams
• Excellent communication skills, both written and oral

ROLE AND RESPONSIBILITIES

Should be able to work as an individual contributor and maintain good relationship with stakeholders. Should

be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and

transform data into insights that drive business value, through use of data analytics, data visualization and data

modeling techniques.

QUALIFICATIONS AND EDUCATION REQUIREMENTS

Technical Bachelor’s Degree.

Non-Technical Degree holders should have 1+ years of relevant experience.

Experience: 8+ Years

Work Location: Hyderabad

Mode of work: Work from Office

Senior Data Engineer / Architect

Summary of the Role

The Senior Data Engineer / Architect will be a key role within the data and technology team, responsible for engineering and building data solutions that enable seamless use of data within the organization. 

Core Activities

-         Work closely with the business teams and business analysts to understand and document data usage requirements

-         Develop designs relating to data engineering solutions including data pipelines, ETL, data warehouse, data mart and data lake solutions

-         Develop data designs for reporting and other data use requirements

-         Develop data governance solutions that provide data governance services including data security, data quality, data lineage etc.

-         Lead implementation of data use and data quality solutions

-         Provide operational support for users for the implemented data solutions

-         Support development of solutions that automate reporting and business intelligence requirements

-         Support development of machine learning and AI solution using large scale internal and external datasets

Other activities

-         Work on and manage technology projects as and when required

-         Provide user and technical training on data solutions

Skills and Experience

-         At least 5-8 years of experience in a senior data engineer / architect role

-         Strong experience with AWS based data solutions including AWS Redshift, analytics and data governance solutions

-         Strong experience with industry standard data governance / data quality solutions  

-         Strong experience with managing a Postgres SQL data environment

-         Background as a software developer working in AWS / Python will be beneficial

-         Experience with BI tools like Power BI and Tableau

Strong written and oral communication skills

Responsibilities :

• Involve in planning, design, development and maintenance of large-scale data repositories, pipelines, analytical solutions and knowledge management strategy
• Build and maintain optimal data pipeline architecture to ensure scalability, connect operational systems data for analytics and business intelligence (BI) systems
• Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Reporting and obtaining insights from large data chunks on import/export and communicating relevant pointers for helping in decision-making
• Preparation, analysis, and presentation of reports to the management for further developmental activities
• Anticipate, identify and solve issues concerning data management to improve data quality

Requirements :

• Ability to build and maintain ETL pipelines 
• Technical Business Analysis experience and hands-on experience developing functional spec
• Good understanding of Data Engineering principles including data modeling methodologies
• Sound understanding of PostgreSQL
• Strong analytical and interpersonal skills as well as reporting capabilities

Hi 

We have an Excellent Job Opening for "Business Analyst Role" with one of the Product Based Organization for Remotly Supporting Mode & for Mumbai Location.

Job Description

Job Responsibilities: 

• Passion for converting data to insights, building frameworks for decision making, high attention to details and data fidelity
• Define the business problem and properly structure the solution.
• Build reports, dashboards and metrics to monitor the performance.
• Work with cross functional stakeholders like Product, Tech, Ops, sales etc. to take data driven decisions and help leadership in strategic planning.
• Analyse metrics, key indicators and other available data sources to discover the root causes of process defects.
• Support business development and help to create efficient designs and solution processes.
• Drive business metrics and goals, track and measure activities.
• Determine efficient utilisation of resources
• Ownership of new initiatives.

Requirements:

• B Tech/BE in Computer Science or equivalent from a tier 1 college with 3 to 5 years of experience
• Excellent analytical and problem solving skills.
• Ability to present your beliefs clearly and compellingly, verbally and in written form.
• Proficiency in SQL, R/Python.
• Knowledge of data mining techniques like time series forecasting, regression, classification and clustering techniques is a plus
• Demonstrated ability to work independently in a highly demanding and ambiguous environment.

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in Python / R Programming :

Relevant experience in SQL:

Relevant experience in Data Mining Technques:

Regards,

Ashwini