Jasola Delhi Delhi Cloud sales consultant Jobs – 66 Open Jobs Today

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CAC - Corporate Analyst & Consultant Pvt Ltd —Prashant Vihar, Delhi, Delhi
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BreachLock —Noida, Uttar Pradesh
- Full-time
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Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
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Data Analyst

DS Group -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time
1 day ago

Qualifications

Performance tuning
Computer Science
React
Relational databases
NumPy
Git
Tableau
Master's degree
SQL
Pandas
Bachelor's degree
Usability
REST
APIs
Data science
Manufacturing
Python
Data Science
Analytics
Information Technology

Full job description

Designation: DEPUTY MANAGER
Location: India UTTAR PRADESH Noida
Group: DS Group
Entity: Dharampal Satyapal Strategic Consultants LLP
SBU: DHARAMPAL SATYAPAL STRATEGIC CONSULTANTS LLP
Department: INFORMATION TECHNOLOGY
Function: DATA ANALYTICS

Job Description:

Job Title: Tableau Data Analyst / BI Developer

Location: Noida – DS Headquarters

ROLE SUMMARY

We are looking for a highly skilled, hands-on Data Analyst / BI Developer who is exceptional in Tableau and even stronger in advanced SQL and data understanding. The role will own the complete analytics lifecycle—from understanding a business question and validating source data to building optimized SQL datasets and publishing reliable, decision-ready Tableau dashboards.

The successful candidate must be able to work independently with large, complex datasets, identify data-quality issues, explain the business meaning behind numbers, and convert analysis into clear, actionable insights. Strong Python development capability is required. DBMS experience and/or React knowledge will be an added advantage.

KEY RESPONSIBILITIES

Partner with business and functional teams to understand processes, KPIs, reporting requirements, decision points, and data definitions.

Design, develop, publish, and maintain enterprise-grade Tableau dashboards, reports, and reusable data sources.

Build efficient and reliable SQL queries for complex analysis, reconciliation, reporting, and data preparation.

Investigate data discrepancies by tracing data from source systems through transformations to final dashboards.

Define data grain, joins, business rules, metric logic, filters, and exception-handling rules before visualization.

Optimize Tableau workbooks, extracts, live connections, calculations, and underlying SQL for performance and scalability.

Develop Python-based utilities and workflows for data extraction, transformation, validation, automation, API integration, and recurring analysis.

Perform exploratory analysis, identify trends and anomalies, and communicate findings in simple business language.

Create documentation covering metric definitions, data lineage, dashboard logic, refresh schedules, assumptions, and known limitations.

Apply appropriate access controls, row-level security, testing, version control, and deployment practices.

Support users after release, troubleshoot production issues, and continuously improve dashboards based on usage and feedback.

Coach stakeholders and team members on effective dashboard use and sound interpretation of data.

MANDATORY TECHNICAL SKILLS

1. Exceptional Tableau expertise

Deep hands-on knowledge of Tableau Desktop and Tableau Server/Cloud.

Expert-level capability in calculated fields, Level of Detail (LOD) expressions, table calculations, parameters, sets, context filters, dashboard actions, data blending/relationships, and reusable data sources.

Strong understanding of extracts versus live connections, refresh strategy, row-level security, publishing, permissions, subscriptions, and dashboard governance.

Proven ability to create clean, intuitive, executive-ready dashboards without compromising analytical depth.

Strong Tableau performance-tuning skills, including reducing query load, optimizing calculations, improving workbook design, and using performance diagnostics.

2. Expert-level advanced SQL

Excellent command of complex joins, CTEs, subqueries, window functions, conditional aggregation, set operations, pivots/unpivots, date logic, and advanced analytical queries.

Ability to write accurate SQL for large datasets while handling duplicates, nulls, changing master data, incomplete records, and different levels of granularity.

Strong understanding of query execution plans, indexing, partitioning, views/materialized views, and performance optimization.

Ability to independently reconcile results across source tables and prove the correctness of reported numbers.

Sound knowledge of relational database concepts, normalization, dimensional modelling, fact/dimension design, and data marts.

3. Strong data and business understanding

Ability to translate an unclear business requirement into precise questions, definitions, source mappings, and acceptance criteria.

Strong understanding of data quality, data lineage, master data, transaction data, historical versus current-state reporting, and source-of-truth controls.

Ability to distinguish correlation from causation, validate assumptions, identify anomalies, and explain why a metric changed—not only what changed.

4. Python development

Strong hands-on Python skills for data processing and automation.

Experience with pandas, NumPy, database connectivity, REST APIs, file processing, logging, exception handling, and reusable modular code.

Ability to build and maintain ETL/ELT utilities, validation scripts, scheduled workflows, and analytical prototypes.

Familiarity with Git, code review, testing, and maintainable development practices.

PREFERRED / ADDED ADVANTAGE

DBMS expertise, including schema design, indexing, EXPLAIN/EXPLAIN ANALYZE, functions, views, materialized views, and database performance tuning.

React knowledge for building lightweight analytical applications, integrating dashboards, or creating custom data-driven user interfaces.

Exposure to data warehouses, cloud data platforms, orchestration tools, APIs, and modern data pipelines.

Experience working with operational, sales, finance, supply-chain, or manufacturing data will be useful.

QUALIFICATIONS AND EXPERIENCE

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, Engineering, or a related discipline.

Demonstrable experience delivering production Tableau solutions and writing complex SQL in a business environment.

A strong portfolio or practical examples of dashboards, SQL problem-solving, performance tuning, and data reconciliation will be preferred.

WHAT WE WILL ASSESS

Candidates should be prepared for a practical assessment covering advanced SQL, data interpretation, Tableau dashboard design, performance optimization, and Python-based data processing. We are specifically looking for someone who can validate the data, challenge incorrect assumptions, and take full ownership of the accuracy and usability of analytics delivered.

Skills:

Tableau Developer

SQL

Python

React

Apply Now

Refine Your Search

cloud sales consultant jobs in jasola delhi delhi

Data Analyst

Solution Architect-Presales

Sr Lead - SFDC Agentforce

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Associate Director - Industry Advisory 3

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international Tax

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Oracle HCM Functional-Talent Management and Core HR

ABAP Consultant - SAP

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Business Associate

Technical IT Lead – Online Bidder (Upwork, Guru, LinkedIn)

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Lead Data Engineer - Data Engineering 4C

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