2 Senior Financial Data Analyst jobs in whatjobs

Senior Financial Data Analyst

30101 Tuwan KES680000 Annually WhatJobs

Posted 19 days ago

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Job Description

full-time
Our client, a dynamic and growing FinTech company, is seeking a highly analytical and detail-oriented Senior Financial Data Analyst to join their fully remote team. This role is pivotal in driving informed business decisions by transforming raw financial data into actionable insights. You will be responsible for developing and maintaining sophisticated financial models, performing in-depth analysis of financial performance, identifying trends, and forecasting future outcomes. Your work will directly influence strategic planning, budgeting, and operational efficiency. The ideal candidate will have a strong command of statistical analysis, data mining techniques, and financial modeling principles. You will be adept at using various data analysis tools and programming languages, such as SQL, Python, R, and advanced Excel functions, to extract, clean, and analyze large datasets. This position requires you to collaborate closely with finance, operations, and product teams to understand their data needs and provide them with timely, accurate, and insightful reports and dashboards. You will be expected to present complex findings in a clear and concise manner to both technical and non-technical audiences. Key responsibilities include variance analysis, profitability analysis, risk assessment, and developing key performance indicators (KPIs) to track business objectives. Experience with financial reporting standards and regulatory compliance is a plus. This is an excellent opportunity for a seasoned analyst looking to make a significant impact in a fast-paced, innovative environment. You will have the autonomy to shape your analytical approach and contribute to critical business strategies. If you are passionate about leveraging data to unlock financial potential and thrive in a remote work setting, we encourage you to apply.
Responsibilities:
  • Conduct in-depth financial analysis to support strategic decision-making.
  • Develop, maintain, and improve financial models for forecasting and budgeting.
  • Analyze financial data to identify trends, variances, and opportunities for improvement.
  • Create and present comprehensive reports and dashboards to stakeholders.
  • Collaborate with cross-functional teams to define and track key performance indicators (KPIs).
  • Perform profitability and cost analysis to drive business efficiency.
  • Conduct risk assessments and provide recommendations.
  • Ensure data integrity and accuracy in all analyses.
  • Stay updated with industry best practices and emerging analytical techniques.
  • Contribute to the development of data-driven strategies.
Qualifications:
  • Bachelor's or Master's degree in Finance, Economics, Accounting, Statistics, or a related quantitative field.
  • 5+ years of experience in financial analysis, data analysis, or a similar role.
  • Proficiency in SQL, Python or R for data manipulation and analysis.
  • Advanced knowledge of Microsoft Excel and financial modeling techniques.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of financial principles and accounting concepts.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Proven ability to communicate complex financial information clearly and concisely.
  • Experience working in a remote environment is a plus.
  • Ability to work independently and manage multiple priorities.
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Senior Financial Data Analyst

90138 Mlolongo, Eastern KES400000 Annually WhatJobs

Posted 5 days ago

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Job Description

full-time
Our client is seeking a highly analytical and detail-oriented Senior Financial Data Analyst to join their expanding finance department. This hybrid role requires a strong understanding of financial principles combined with advanced data analysis skills. You will be responsible for collecting, cleaning, analyzing, and interpreting complex financial data to identify trends, provide actionable insights, and support strategic business decisions. The ideal candidate will be proficient in data visualization tools, financial modeling, and statistical analysis techniques. You will work closely with various departments, including accounting, sales, and operations, to ensure data accuracy and provide critical financial reporting.

Key Responsibilities:
  • Collect, process, and analyze large volumes of financial data from various sources.
  • Develop and maintain financial models to forecast revenue, expenses, and profitability.
  • Identify key performance indicators (KPIs) and track progress towards financial goals.
  • Prepare comprehensive financial reports, dashboards, and presentations for senior management.
  • Conduct variance analysis to explain deviations from budget and forecast.
  • Perform ad-hoc financial analysis to support specific business initiatives and strategic planning.
  • Collaborate with accounting teams to ensure the accuracy and integrity of financial data.
  • Provide insights into market trends and competitor performance that may impact financial outcomes.
  • Develop and implement data quality controls to ensure the accuracy and reliability of financial information.
  • Automate reporting processes where possible to improve efficiency and reduce manual effort.
  • Stay current with financial best practices, analytical techniques, and relevant software tools.
  • Assist in the budgeting and forecasting processes.
  • Communicate complex financial information clearly and concisely to both finance and non-finance stakeholders.
  • Support the optimization of financial operations through data-driven recommendations.

Qualifications:
  • Bachelor's degree in Finance, Economics, Accounting, Statistics, or a related quantitative field.
  • Minimum of 5 years of experience in financial analysis, data analysis, or a related role.
  • Proven experience with financial modeling, forecasting, and budgeting.
  • Proficiency in data analysis tools such as Excel (advanced), SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Strong understanding of accounting principles and financial statements.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Exceptional attention to detail and commitment to data accuracy.
  • Strong communication and presentation skills, with the ability to articulate complex findings to diverse audiences.
  • Experience working in a hybrid work environment is beneficial.
This advertiser has chosen not to accept applicants from your region.
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