Business Analyst, FOAA – FP&A Job Vacancy in ADCI – Karnataka Bengaluru, Karnataka – Updated today

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Full Details :
Company Name :
ADCI – Karnataka
Location : Bengaluru, Karnataka
Position :

Job Description : 3+ years relevant experience in financial/business analysis
Experience defining requirements and using data and metrics to draw business insights
Experience making business recommendations and influencing stakeholders
Experience with SQL
Experience in Excel

Bachelor’s degree in Computer Science or related fields
5+ years’ experience in a role requiring application of analytic skills in a business analyst, data analyst or statistical analyst role
3+ years relevant experience in finance domain
5+ years’ experience in SQL and Excel, data modelling and analytics using Python or R, visualization tools – Tableau or Power BI
Experience defining requirements and using data and metrics to draw business insights and making business recommendations
Proven analytical thinking, skills in metrics creation, attention to detail, and exceptional organizational skills

Job summary
FinOps Accounting and Analysis (FOAA) is looking for a Business Analyst II (Level 5) responsible for the development and the implementation of Business Intelligence and analytics in the Finance functions. FOAA is a finance department that manages the accounting, reporting and analysis work for global finance teams in Amazon. FOAA FP&A services management-reporting activities, is a key contributor in planning, budgeting & forecasting activities, leverages data analytics and visualization to drive standardization & automation on projects, and develops plug and play tools for Finance teams.

The business analyst is responsible for deriving deep insights about various business functions and driving continuous improvement using data. S/he should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root of the problems. They will work closely with program managers and business teams to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, scope out automation opportunities and most importantly work with different stakeholders to drive enhancement of existing processes over time.

Key job responsibilities
Collaborate with Financial Analysts, BI Engineers and Business stakeholders to design, develop influence operational best practices for reporting and analytics
Bring an analytical and consulting mindset to look at existing processes, programs and develop strategies to improve business performance and mitigate risk
Ideate and develop analytics to spot trends & outliers, create scenarios and develop forecasts, generate insights through predictive analytics
Perform data related activities – data discovery, cleaning, engineering, analysis & visualization on multiple technology stacks, to improve operational & business outcomes
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Participate in business requirements discussion and translate functional requirements into detailed systems design documents
Effectively communicate status, issues, and escalations to leadership and business stakeholders

Master’s Degree in Computer Science or Master’s in Business Administration (MBA)
Advance SQL proficiency – experience writing complex SQL statements and ability to manipulate a massive amount of data, creating dashboards/on demand reports
Experience working in a consulting environment, preferably with one of the big 4 Consulting firms
Experience building and analysing models using various statistical tools for predictive modelling
Familiarity with theory and practice of machine learning
Experience in partnering with business owners to understand requirements and develop supporting analysis to solve business problems
Strong verbal/written communication & data presentation skills, including an ability to effectively develop and communicate clear, thoughtful, and comprehensive analyses with both business and technical teams.
Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data

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