Manager, Finance Analytics at Weekday AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

1000000.0

Posted On

10 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Finance Analytics, Data Analytics, SQL, Python, SAS, Financial Modeling, Tableau, Power BI, Data Visualization, Problem Solving, Communication, Collaboration, Reporting, Forecasting, Budgeting, Performance Metrics

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 500000 - Rs 1000000 (ie INR 5-10 LPA) Min Experience: 1 years Location: Remote (India) JobType: full-time We are seeking a results-driven Manager – Finance Analytics to lead data-driven financial insights that support strategic decision-making and business performance. This role is ideal for a professional who combines strong financial acumen with advanced analytical capabilities, leveraging data to uncover trends, optimize financial outcomes, and guide leadership with actionable intelligence. Working in a fully remote setup within India, you will collaborate with cross-functional teams to translate complex financial data into meaningful insights using modern analytics tools and technologies. As a Manager in Finance Analytics, you will play a critical role in building scalable analytical frameworks, improving reporting accuracy, and enabling data-backed financial planning. The position offers an opportunity to work hands-on with large datasets, automate reporting processes, and influence financial strategy while operating in a dynamic, growth-oriented environment. Key Responsibilities Lead financial and data analytics initiatives to support budgeting, forecasting, profitability analysis, and strategic planning. Analyze large, complex financial datasets using SQL, Python, and SAS to identify trends, risks, and opportunities. Develop and maintain robust financial models to evaluate business performance, cost optimization, and revenue drivers. Design, build, and automate interactive dashboards and reports using Tableau and Power BI to deliver real-time insights to stakeholders. Translate analytical findings into clear, actionable recommendations for senior leadership and business teams. Ensure data accuracy, consistency, and integrity across all financial reports and analytics outputs. Partner with finance, operations, and business teams to understand requirements and deliver analytics solutions aligned with business goals. Improve existing financial reporting processes by introducing automation, standardization, and advanced analytics techniques. Support ad-hoc analysis and deep dives related to financial performance, variance analysis, and scenario planning. Stay current with industry best practices in financial analytics, data visualization, and advanced analytical methods. What Makes You a Great Fit Minimum 1+ year of experience in finance analytics, financial analysis, or data analytics roles. Strong foundation in finance and financial analytics, including understanding of P&L, forecasting, and performance metrics. Hands-on expertise in Data Analytics using SQL, Python, and SAS for data extraction, analysis, and modeling. Proven experience in creating impactful dashboards and visual reports using Tableau and Power BI. Ability to convert complex data into meaningful insights that influence business decisions. Strong problem-solving skills with a structured, analytical mindset and attention to detail. Excellent communication skills, with the ability to present insights clearly to both technical and non-technical stakeholders. Comfortable working independently in a remote environment, managing priorities, and meeting deadlines. Proactive, curious, and eager to continuously improve analytical capabilities and financial understanding. A collaborative team player who thrives in a fast-paced, data-driven environment.

Responsibilities

Lead financial and data analytics initiatives to support budgeting, forecasting, profitability analysis, and strategic planning. Analyze large, complex financial datasets to identify trends, risks, and opportunities.