Salesforce Intelligence Cloud Developer (Datorama)- contract/parttime

We are looking for a Lead – Information Systems who can combine strong Salesforce/CRM expertise, advanced Excel skills, MIS reporting and business analytics to support data-driven decision-making.

🔹 What We’re Looking For

• Minimum 4 years of hands-on experience with CRM systems, preferably Salesforce

• Minimum 3 years of practical Salesforce experience preferred

• Advanced proficiency in Microsoft Excel, including:

Advanced formulas, Pivot Tables, Power Query, Data analysis, Automation

• Strong experience in MIS reporting, data validation, analysis and presentation of insights

• Proven experience creating and maintaining dashboards, KPI reports and management reports

• Good technical aptitude with the ability to understand business processes and convert them into effective reporting solutions

• Basic to intermediate understanding of finance and business metrics, including revenue, costs, budgeting and financial reporting concepts

• Strong analytical and problem-solving skills

• Excellent stakeholder management and communication skills

• Ability to work independently and convert data into actionable business insights

🔹 Key Responsibilities

• Manage and analyze data from Salesforce/CRM and other business systems

• Develop and maintain MIS reports, dashboards and KPI trackers

• Ensure data accuracy, validation and consistency across reports

• Analyze business data and identify trends, gaps and opportunities

• Translate business requirements into meaningful reports and dashboards

• Work closely with business and functional stakeholders to understand reporting requirements

• Support management with timely and accurate business insights and performance reports

• Identify opportunities to improve reporting processes through Excel, Power Query and automation

• Support CRM-related reporting and process improvements

🎯 Ideal Candidate

Someone who is comfortable working at the intersection of CRM + MIS + Excel + Business Analytics, and can go beyond preparing reports to explain what the data means and what action the business should take.

Title                                : Marketing Analytics Specialist

Experience                   : 5 to 8 yrs

Location                       : Anywhere in India – Preferred Chennai

Type of Hire                  : PwD/Non PwD

Work type                      : Remote

Employment Type       : Full Time

Notice Period                : Immediate

Workday                        : Mon to Fri

Role Overview

We are looking for an experienced Marketing Analytics Specialist to derive actionable commercial insights from Reckitt’s cross-channel e-commerce sales data. The role involves integrating data from multiple, inconsistently structured sources, developing scalable data pipelines and data models, creating business intelligence dashboards, and analyzing the impact of media platform spending on sales performance across various retailer platforms.

Key Responsibilities

• Commercial Analytics: Analyze cross-channel e-commerce sales data to identify trends, performance drivers, and actionable commercial insights.
• Business Requirements: Collaborate with business stakeholders to understand reporting requirements and translate them into analytical solutions.
• Data Architecture: Design and implement efficient data storage, retrieval, and processing architectures.
• ETL Development: Build and maintain robust, scalable ETL pipelines to integrate data from multiple source systems into data warehouses or other storage solutions.
• Data Modelling: Develop and maintain data models aligned with business reporting and analytical requirements.
• Data Quality: Implement data quality checks, validation, and reconciliation processes to ensure data accuracy, completeness, and consistency.
• BI Dashboards & Reporting: Design and develop interactive dashboards and reports that communicate business performance and insights effectively.
• Media Spend Analysis: Analyze the impact of media platform spending on sales performance across multiple retailer platforms and identify opportunities to improve marketing effectiveness.
• End-User Training: Provide training, documentation, and ongoing support to enable business users to use BI tools effectively.

Required Skills

• 5+ years of experience in Marketing Analytics, Data Analytics, Business Intelligence, or a related field.
• Prior hands-on experience in Marketing Analytics, with full proficiency in Claude AI
• Strong SQL skills for data extraction, transformation, and analysis.
• Hands-on experience with ETL/ELT pipelines and data integration from multiple sources.
• Experience with data warehousing concepts and data modeling.
• Proficiency in Power BI, Tableau, or other BI visualization tools.
• Experience analyzing e-commerce sales, marketing performance, media spending, or retailer data.
• Knowledge of data quality, data validation, and reconciliation techniques.
• Strong analytical, problem-solving, and stakeholder communication skills.

Good to Have

• Experience in FMCG, retail, consumer goods, or e-commerce analytics.
• Understanding of digital marketing metrics such as ROI, ROAS, and campaign performance.
• Exposure to marketing attribution or Marketing Mix Modeling (MMM).
• Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
• Knowledge of Python or data transformation tools such as dbt.

Role Overview

We're looking for a Salesforce Consultant to audit an existing Salesforce setup, identify gaps, and design a rebuilt architecture to support lead management, sales automation, and CDP integration — ahead of two major product launches.

Key Responsibilities

• Audit the current Salesforce org: data structure, user roles, permissions, and existing automations (or lack of them)
• Recommend and design a system architecture for lead capture, qualification, and nurturing across online and offline channels (Meta, Google, website, walk-ins/experience center)
• Set up proper user access controls and role-based permissions (fixing shared-login/security gaps)
• Design and implement email automation and lead nurturing workflows
• Evaluate and recommend integration with a CDP (Customer Data Platform) to unify lead data across sources
• Advise on Salesforce licensing needs based on the rebuilt scope
• Support end-to-end lead lifecycle tracking — from lead generation through to booking/conversion
• Work in a sandbox/staging environment before deploying changes to production
• Collaborate with internal stakeholders and prior Salesforce implementers to understand system history before rebuilding
• Provide a scope of work and implementation roadmap with realistic timelines

Required Skills & Experience

• 4+ years hands-on Salesforce experience (Sales Cloud required; Marketing Cloud/CDP experience preferred)
• Experience auditing and re-architecting legacy/poorly maintained Salesforce orgs
• Strong understanding of lead lifecycle management and CRM-to-sales handoff processes
• Experience with marketing automation tools and integrations (Meta/Google Ads lead data, email automation)
• Salesforce certifications preferred (Administrator, Sales Cloud Consultant, or similar)
• Experience with CDP tools and data unification is a plus
• Ability to work on tight timelines against real business deadlines (e.g., product launches)

Immediate Joining

We are looking for a Dedicated Resource on Contract for –

Role: Data Engineer

Experience: 5+ Years

Location: Remote

Duration: 3+ Months

Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.

Good knowledge of AI tools such as Claude.

Experience with ETL tools like Alteryx is good to have.

Power BI experience is good to have.

Strong communication skills.

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

We are looking for a highly experienced Senior Salesforce Consultant / Salesforce Architect with strong expertise in Salesforce architecture, solution design, enterprise discovery, platform assessment, data analysis, integrations, and business process transformation.

The consultant will bring deep Salesforce platform expertise to the discovery and transformation team, supporting requirements gathering, assessment of existing Salesforce environments, data and process analysis, platform rationalization, and evaluation of Salesforce as a potential target platform.

The ideal candidate should be comfortable engaging with both business and technical stakeholders and translating complex business requirements into practical Salesforce capabilities and target-state solutions.

Job Title: Senior Data Engineer

Position Summary

We are seeking a highly skilled Data Engineer with strong expertise in reporting infrastructure, data modeling, and analytics platforms. This role will focus on building scalable reporting solutions, optimizing data pipelines, and enabling data-driven decision-making across the organization. The ideal candidate will have deep experience with databases, data warehousing, and complex query development. While Ruby on Rails experience is beneficial, the primary emphasis is on data engineering and reporting systems.

Key Responsibilities

• Design, develop, and maintain reporting infrastructure and data platforms.
• Build and optimize complex SQL queries, data models, and reporting datasets.
• Develop scalable ETL/ELT pipelines and data integration processes.
• Design and maintain database schemas to support analytics and reporting requirements.
• Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions.
• Implement data quality, governance, and performance best practices.
• Support and enhance enterprise reporting solutions and dashboards.
• Work with large-scale datasets in cloud data warehouse environments.
• Troubleshoot reporting issues and optimize database performance.
• Partner with engineering and product teams to establish sustainable data architecture.

Must Have: Technical Skills

• PostgreSQL
• Snowflake
• Advanced SQL
• Data Modeling
• Data Warehousing
• Reporting & Analytics Infrastructure
• ETL/ELT Development
• Query Performance Tuning

Success Profile:

The ideal candidate is a data-focused engineer who enjoys working with complex datasets, designing scalable reporting solutions, and building foundational infrastructure that empowers analytics and business intelligence teams. They should be comfortable navigating databases, optimizing queries, and translating business reporting needs into robust technical implementations.

Experience Range: 5-10 years

Role Type: Individual Contributor / Senior Engineer

Primary Focus: Reporting Infrastructure, Data Engineering, Data Warehousing, and Analytics Enablement.

Senior Salesforce Architect

We are looking for a highly experienced Senior Salesforce Consultant / Salesforce Architect with strong expertise in Salesforce architecture, solution design, enterprise discovery, platform assessment, data analysis, integrations, and business process transformation.

The consultant will support requirements gathering, assessment of existing Salesforce environments, data and process analysis, platform rationalization, and evaluation of Salesforce as a potential target platform.

⚠️ Mandatory Certification

A valid Salesforce Solution Architect / Application Architect certification is mandatory. Candidates without this certification will not be considered.

Key Responsibilities

• Participate in business and technical discovery sessions with stakeholders across organizations.
• Understand and document current-state customer success processes, workflows, data structures, and Salesforce platform usage.
• Assess existing Salesforce environments, including:
• Salesforce data model and objects
• Configuration and customization
• Workflows and automation
• Business rules
• Roles, profiles, permissions, and security
• Enterprise integrations
• Data quality, duplication, and dependencies
• Custom applications and components
• Analyze how Salesforce data and processes interact with Atlassian/Jira Service Management and ServiceNow.
• Identify Salesforce capabilities supporting the future-state operating model.
• Evaluate gaps between current Salesforce capabilities and business requirements.
• Provide recommendations covering platform fit, configuration vs. customization, data migration, integrations, and target-state architecture.
• Contribute to future-state design and Design Blueprint.
• Identify data migration considerations including mapping, data quality, historical data, transformation requirements, and dependencies.
• Identify risks, assumptions, constraints, and dependencies.
• Collaborate with Salesforce, ServiceNow, JSM, data migration, and business transformation teams.
• Present Salesforce findings, architecture considerations, and recommendations to client stakeholders and senior leadership.
• Support enterprise application consolidation, platform rationalization, and transformation initiatives.

Required Skills & Experience

• 9+ years of Salesforce experience
• Strong Salesforce consulting, solution design, architecture, or platform assessment experience.
• Strong understanding of Salesforce architecture and platform capabilities.
• Strong knowledge of:
• Salesforce Data Model
• Configuration & Customization
• Automation
• Security
• Roles, Profiles & Permissions
• Integrations
• Hands-on Salesforce architecture and solution design experience.
• Enterprise-scale Salesforce discovery and assessment experience.
• Ability to translate business requirements into Salesforce capabilities and solution options.
• Strong understanding of data migration and data integration.
• Experience assessing complex Salesforce environments with significant customization and integration footprints.
• Experience with enterprise application consolidation, platform rationalization, or technology transformation.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder-management skills.
• Ability to work with both business and technical stakeholders.
• Experience working in multi-platform environments involving Salesforce, ServiceNow, Atlassian/Jira Service Management, and data migration teams.

Preferred Skills

• Salesforce Certified Administrator
• Platform Developer
• Platform App Builder
• Sales Cloud Consultant
• Service Cloud Consultant
• Application Architect
• System Architect
• Service Cloud
• Salesforce Data Cloud
• ServiceNow
• Atlassian / Jira Service Management
• Salesforce data migration
• M&A integration
• Post-acquisition technology consolidation
• Large-scale operating model and technology transformation

Core Competencies

Salesforce Architecture | Solution Design | Enterprise Salesforce Assessment | Salesforce Discovery | Data Model & Data Analysis | Configuration & Customization | Automation & Workflows | Security & Access Management | Integration Architecture | Data Migration | Platform Rationalization | Enterprise Application Consolidation | Business Process Analysis | Target-State Architecture

🚨 Hiring: Salesforce Developer | 6+ Years Experience

We are looking for an experienced Salesforce Developer to join our team in Noida.

📍 Location: Noida – Onsite

💼 Experience: 6 to 9 Years

⏳ Notice Period: Immediate to 30 Days

Key Skills & Responsibilities-

Strong experience in Salesforce Development, Apex, LWC, SQL & Lightning

Hands-on experience with Salesforce integrations

Strong client handling & stakeholder management skills

Experience in team leadership & mentoring

Good communication, problem-solving & requirement-gathering skills

Experience in solution design, development & deployment

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/