# Salesforce Engineer

> Weekday AI · India (Remote) · Full-time · Posted 2026-09-17

**Salary:** INR 1,000,000–2,000,000

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟮𝟬 𝗟𝗣𝗔)

Experience: 5+ yrs

Location: Remote (India), India

Job Type: Full-time

We are looking for an experienced **Salesforce Analytics Developer** to transform Salesforce data into reliable, actionable insights for business and leadership teams. This is a hands-on analytics development role focused on building and maintaining reporting and analytics solutions directly within the Salesforce platform.

The role requires strong expertise in **CRM Analytics, Salesforce native reporting, SOQL, SAQL, data modelling, Einstein predictive capabilities, and Salesforce data quality**. You will work closely with Sales, Revenue Operations, Finance, and Operations stakeholders to translate business questions into accurate metrics, dashboards, reports, and predictive insights.

## Requirements

Key Responsibilities

-   Design, develop, and maintain **CRM Analytics dashboards, lenses, datasets, recipes, and dataflows**.
-   Build and optimize Salesforce native reports, custom report types, dynamic dashboards, filters, cross-filters, bucket fields, and summary formulas.
-   Develop interactive analytics using **SOQL, SAQL, bindings, filters, and faceting**.
-   Configure and validate **Einstein Discovery / Prediction Builder** models and monitor predictive scoring and refresh activities.
-   Implement formula fields, roll-up summaries, and supporting Salesforce schema changes to ensure reporting accuracy at the source.
-   Gather analytics requirements directly from Sales, Revenue Operations, Finance, Operations, and senior business stakeholders.
-   Define and document **metric definitions, calculation logic, data lineage, refresh schedules, and reporting standards**.
-   Identify and resolve Salesforce data-quality issues such as duplicates, inconsistent classifications, ownership gaps, territory issues, and inaccurate stage values.
-   Reconcile Salesforce metrics with Finance and operational systems of record and investigate variances to root cause.
-   Implement appropriate **row-level and field-level security** based on Salesforce sharing and visibility requirements.
-   Apply data classification, access-control, customer-segment, and jurisdictional handling requirements to analytics assets.
-   Manage analytics changes through source control, sandbox testing, documented validation, and controlled production releases.
-   Maintain an inventory of analytics assets and retire redundant, unused, or outdated reports and dashboards.
-   Provide Tier 2/3 support for dashboard issues, dataflow failures, reporting defects, and performance problems.
-   Train business users on self-service reporting and create guidance for recurring analytics requirements.
-   Evaluate Salesforce seasonal releases for analytics-impacting changes and regression-test critical reporting assets.
-   Collaborate with enterprise data and BI teams when Salesforce data is integrated into downstream platforms and reporting environments.

What Makes You a Great Fit

-   **5+ years of experience** in Salesforce analytics, reporting, business intelligence, or related data roles.
-   **3–5 years of hands-on Salesforce reporting and analytics development**, including at least 2 years with **CRM Analytics / Tableau CRM**.
-   Strong experience building CRM Analytics **dataflows, recipes, datasets, dashboards, lenses, bindings, and refresh schedules**.
-   Proficiency with Salesforce native reporting, including **custom report types, cross-filters, bucket fields, summary formulas, and dashboard filters**.
-   Strong understanding of the **Salesforce data model and sharing/visibility model**, including org-wide defaults, role hierarchy, sharing rules, and field-level security.
-   Strong proficiency in **SOQL and SQL**, with working knowledge of SAQL or comparable analytics query languages.
-   Good understanding of dimensional data modelling concepts, including **facts, dimensions, and data grain**.
-   Proven ability to gather requirements directly from business stakeholders and translate business questions into precise analytics solutions.
-   Strong ability to explain metric definitions, reporting logic, and data variances to both technical and non-technical stakeholders.
-   Experience working in controlled Salesforce environments using **sandboxes, documented testing, source control, and scheduled releases**.
-   Strong analytical, problem-solving, data-quality, and troubleshooting skills.
-   Experience with Salesforce **CPQ, Revenue Cloud, quote-to-cash, or enterprise data integrations** is an advantage.
-   Familiarity with tools such as **Fivetran, Boomi, Salesforce APIs, Power BI, Salesforce DX, Gearset, or Copado**is desirable.
-   Experience with Apex, Lightning Web Components, Flow, Tableau, or Salesforce Data 360 is a plus.
-   Salesforce analytics-related certifications such as **CRM Analytics and Einstein Discovery Consultant** are desirable.
-   Bachelor's degree in **Information Systems, Computer Science, Analytics, Business, or a related discipline**, or equivalent practical experience.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/50ACD07C56/apply)

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