Lead Business Analyst at sonataOne
Fremont, California, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Jul, 25

Salary

0.0

Posted On

14 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Finance, Tableau, Relational Databases, Sql, Data Modeling, Regulatory Requirements, Communication Skills, Excel, Python, Statistics, Computer Science, R, Analytical Skills, Power Bi, Programming Languages

Industry

Information Technology/IT

Description

SONATA SOFTWARE OVERVIEW

Sonata is a global technology company specializing in platform-based digital transformation, supporting businesses to become connected, open, intelligent and scalable. Sonata’s Platformation™ methodology brings together industry expertise, platform technology excellence, design innovation and strategic engagement models to deliver sustained value to customers. A trusted partner of world leaders in the retail, manufacturing, distribution, travel, services and software industries, Sonata’s software portfolio includes the Brick & Click Retail Platform©, Modern Distribution Platform©, Rezopia Digital Travel Platform©, Kartopia E-commerce Platform©, Halosys enterprise development automation Platform©, CTRM Commodity Trading and Risk Management Platform© and KODO - AI Powered Customer Experience (CX) Platform. Sonata’s Platformation approach ensures services built on Microsoft Dynamics 365, Microsoft Azure, AWS, Cloud Engineering and Managed Services deliver on the Platformation promise. As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata’s people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.

JOB DESCRIPTION

We are seeking a skilled Data Analyst with expertise in banking domain knowledge and data storytelling to join our team. In this role, you will transform complex financial data into actionable insights and compelling narratives that drive business decisions. The ideal candidate will have strong analytical skills combined with the ability to communicate findings effectively to both technical and non-technical stakeholders. This is an onsite position that requires a deep understanding of banking operations, financial products, and regulatory requirements.

JOB REQUIREMENTS

  • Bachelor’s degree in Finance, Statistics, Computer Science, or related field
  • 3+ years of experience as a data analyst, preferably in banking or financial services
  • Excellent numerical and analytical skills with attention to detail
  • Proficiency in data analysis tools such as SQL, Excel, Power BI, or Tableau
  • Experience with statistical analysis and data visualization techniques
  • Familiarity with relational databases and data warehouse concepts
  • Knowledge of data modeling, data cleansing, and data enrichment techniques
  • Strong understanding of banking operations, financial products, and regulatory requirements
  • Demonstrated ability to translate complex data into compelling narratives and actionable insights
  • Knowledge of data modeling, data cleansing, and data enrichment techniques
  • Familiarity with relational databases and data warehouse concepts
  • Excellent communication skills, both written and verbal
  • Problem-solving mindset with the ability to work independently and as part of a team
  • Experience with Python, R, or other programming languages is a plus
Responsibilities
  • Collect, organize, and analyze financial data sets from various banking systems and sources
  • Clean, profile, and transform data to ensure accuracy, consistency, and usability
  • Design and build data models specific to banking operations, customer behavior, and financial metrics
  • Develop comprehensive reports and interactive dashboards that highlight key performance indicators
  • Create compelling data visualizations that tell a clear story about trends, patterns, and opportunities
  • Work with stakeholders across departments to identify data and reporting requirements
  • Turn raw financial data into meaningful insights that inform strategic decisions
  • Monitor banking industry trends and integrate relevant external data sources
  • Ensure compliance with financial data regulations and internal governance policies
  • Present findings and recommendations to leadership in clear, non-technical language
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