1,968 Data Analyst Positions jobs in Pakistan

About the Role

We are seeking a highly skilled
Financial Data Analyst
with deep expertise in
SaaS financial models
,
data analytics
, and
business intelligence
. This role will bridge finance and data, ensuring accurate financial reporting, building SaaS KPIs, and reconciling data across financial systems. The ideal candidate will have a strong background in SQL, Power BI, and financial CRMs, with experience driving insights that support strategic decision-making.

Key Responsibilities

• Analyze and interpret financial data, focusing on SaaS metrics such as ARR, MRR, Churn.
• Build, maintain, and improve
  SaaS financial models
  to support forecasting and budgeting.
• Develop and automate
  Power BI dashboards
  for real-time financial reporting and KPI tracking.
• Perform
  data reconciliation
  across financial CRMs, ERP systems, and BI tools to ensure data accuracy.
• Collaborate with cross-functional teams (Finance, RevOps, Sales) to align financial data with business objectives.
• Provide insights and recommendations to improve revenue predictability and operational efficiency.
• Support month-end and quarter-end reporting processes, ensuring data integrity for executive reporting.

Required Qualifications

• 5–7 years
  of relevant experience in
  Financial Analysis, BI
  within a SaaS or technology company.
• Bachelor's degree in Finance, Accounting, Economics, or a related field
  (Master's degree or professional certifications such as ACCA, CFA or similar are a plus).
• Strong understanding of
  SaaS financial models
  and metrics.
• Advanced proficiency in
  SQL
  and
  Power BI
  (or equivalent BI tools).
• Experience with
  financial CRMs
  (e.g. Stripe, Xero, HubSpot Finance, or similar).
• Proven experience with
  data reconciliation
  and maintaining data integrity across systems.
• Solid grasp of accounting and revenue recognition principles in SaaS businesses.
• Excellent problem-solving, analytical, and communication skills.

What we Offer:

• Professional Environment: A collaborative and dynamic workplace.
• Competitive Salary: Market-leading compensation.
• Comprehensive Benefits: Medical insurance (including family), OPD, provident fund.
• Work-Life Balance: Maximum 45 weekly hours (Monday-Friday), 29 annual leaves, capped sick & compassionate leaves.
• Perks: Gym facility, annual company trip, quarterly team activities.

Hiring Process:

• Initial Screening: HR screening call.
• First Interview: Team lead and line lead interview.
• Technical Assessment: In-house test.
• Final Interview: Interview with the manager.

Important Information:

• Location: Onsite job with offices in Thokar.
• Working Hours: 8:00 – 4:30 PM (UK Time), subject to change as per business requirements

Job Title: Financial Analyst / Data Analyst

Position Type: Full-Time, Remote

Working Hours: U.S. client business hours (with flexibility for reporting deadlines and project cycles)

About the Role:

Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision-making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable.

Responsibilities:

Financial Modeling:

• Build and maintain 3-statement models (P&L, balance sheet, cash flow).
• Create scenario and sensitivity analyses to evaluate risks and opportunities.
• Model ROI, IRR, break-even, and valuation scenarios for projects or investments.

Data Analysis:

• Query SQL databases and work with large datasets.
• Clean and transform data using Python, R, or Excel advanced functions.
• Conduct variance analyses to compare actuals vs. budgets/forecasts.

Reporting & Dashboards:

• Prepare monthly management reporting packages and board decks.
• Build KPI dashboards using Tableau, Power BI, or Looker.
• Ensure consistent reporting definitions across finance and operations.

Forecasting & Budget Support:

• Collaborate with FP&A teams to refine budgets and forecasts.
• Incorporate real-time business performance into rolling forecasts.

Data Quality & Governance:

• Validate data sources for accuracy and consistency.
• Document methodologies for transparency and repeatability.

Collaboration:

• Partner with finance, sales, operations, and leadership to align metrics with goals.
• Translate data into clear, actionable insights for non-technical stakeholders.

What Makes You a Perfect Fit:

• Analytical thinker who can turn complex data into simple insights.
• Detail-oriented, with high standards for accuracy.
• Strong communicator — equally comfortable with spreadsheets and executive presentations.
• Proactive in identifying trends, risks, and improvement opportunities.

Required Experience & Skills (Minimum):

• 2+ years in financial analysis, FP&A, or data analytics.
• Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros).
• Proficiency in SQL for querying and joining datasets.
• Experience preparing variance analyses and management reports.

Ideal Experience & Skills:

• Python or R for advanced analytics and data modeling.
• Experience with BI tools (Tableau, Power BI, Looker).
• Industry background in SaaS, finance, healthcare, or professional services.
• Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction.

What Does a Typical Day Look Like?

A Financial Analyst / Data Analyst's day revolves around turning raw financial and operational data into meaningful insights. You will:

• Pull and clean data from ERP or SQL sources to prepare daily/weekly reports.
• Update financial models with the latest actuals and run scenario analyses.
• Prepare variance analyses to explain deviations from budget or forecast.
• Build dashboards in BI tools to give leadership real-time visibility into KPIs.
• Collaborate with stakeholders, presenting findings in clear, actionable terms.
• Document assumptions and methodologies so models and analyses are transparent and repeatable.

In essence: you ensure decision-makers always have accurate, data-driven insights to guide strategy.

Key Metrics for Success (KPIs):

• Accuracy of forecasts and financial models (variance within ±5–10%).
• Timeliness of monthly/quarterly reporting.
• Reliability and clarity of dashboards delivered to stakeholders.
• Positive feedback from leadership on insights and recommendations.
• Reduced errors and improved data quality across reports.

Interview Process:

1. Initial Phone Screen
2. Video Interview with Pavago Recruiter
3. Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset)
4. Client Interview with Finance/Operations Leadership
5. Offer & Background Verification

We're Hiring: Financial Data Analyst & Executive Assistant

Company: Sparking Asia

Location: Onsite – Kohistan Tower, Saddar Rawalpindi

Shifts: Flexible (Morning / Evening / Night – Choose Your Slot)

⸻

About the Role

Sparking Asia is looking for a highly analytical and organized individual who can support our leadership with:

Market & Financial Analysis (Stocks, PSX, Gold, Forex, Crypto)

Executive & Administrative Assistance (Reporting, Lead Tracking, Coordination)

This is a full-time onsite role for someone who enjoys working with numbers, financial markets, and structured reporting, while also supporting day-to-day operations at a management level.

⸻

Key Responsibilities

Financial & Market Data Tracking

• Monitor and analyze PSX, US & International Stocks, Gold Prices, Forex & Crypto Trends
• Prepare daily/weekly research summaries, price comparisons, and insight-based reports
• Identify patterns, risks, and opportunities in financial data

Executive & Administrative Support

• Manage documentation, reports, schedules, and lead lists
• Assist in email correspondence, client follow-ups, and task coordination
• Maintain Excel/Google Sheets dashboards for internal reporting

⸻

Required Skills

• Strong interest and understanding of financial markets
• Good command of Excel / Google Sheets (charts, formulas, comparisons)
• Excellent English writing & communication
• Ability to analyze data and present findings clearly
• Highly organized, punctual, and responsible

Bonus Skills (Plus Point):

• Familiarity with TradingView, , CoinMarketCap, Yahoo Finance
• Basic Power BI / Data Visualization experience

⸻

What We Offer

• Flexible shift timings (choose morning/evening/night)
• Competitive salary + performance bonuses
• Long-term career growth in finance & operations
• Direct exposure to business strategy & leadership-level decision-making

Job Type: Full-time

Work Location: In person

Job Title

Financial Analyst / Data Analyst

Full‑Time, Remote

U.S. client business hours (with flexibility for reporting deadlines and project cycles)

Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision‑making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable.

Financial Modeling:

• Build and maintain 3‑statement models (P&L, balance sheet, cash flow).
• Create scenario and sensitivity analyses to evaluate risks and opportunities.
• Model ROI, IRR, break‑even, and valuation scenarios for projects or investments.

Data Analysis:

• Query SQL databases and work with large datasets.
• Clean and transform data using Python, R, or Excel advanced functions.
• Conduct variance analyses to compare actuals vs. budgets/forecasts.

Reporting & Dashboards:

• Prepare monthly management reporting packages and board decks.
• Build KPI dashboards using Tableau, Power BI, or Looker.
• Ensure consistent reporting definitions across finance and operations.

Forecasting & Budget Support:

• Collaborate with FP&A teams to refine budgets and forecasts.
• Incorporate real‑time business performance into rolling forecasts.

Data Quality & Governance:

• Validate data sources for accuracy and consistency.
• Document methodologies for transparency and repeatability.

Collaboration:

• Partner with finance, sales, operations, and leadership to align metrics with goals.
• Translate data into clear, actionable insights for non‑technical stakeholders.

• Analytical thinker who can turn complex data into simple insights.
• Detail‑oriented, with high standards for accuracy.
• Strong communicator — equally comfortable with spreadsheets and executive presentations.
• Proactive in identifying trends, risks, and improvement opportunities.

• 2+ years in financial analysis, FP&A, or data analytics.
• Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros).
• Proficiency in SQL for querying and joining datasets.
• Experience preparing variance analyses and management reports.

• Python or R for advanced analytics and data modeling.
• Experience with BI tools (Tableau, Power BI, Looker).
• Industry background in SaaS, finance, healthcare, or professional services.
• Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction.

A Financial Analyst / Data Analyst’s day revolves around turning raw financial and operational data into meaningful insights. You will:

• Pull and clean data from ERP or SQL sources to prepare daily/weekly reports.
• Update financial models with the latest actuals and run scenario analyses.
• Prepare variance analyses to explain deviations from budget or forecast.
• Build dashboards in BI tools to give leadership real‑time visibility into KPIs.
• Collaborate with stakeholders, presenting findings in clear, actionable terms.
• Document assumptions and methodologies so models and analyses are transparent and repeatable.

In essence: you ensure decision‑makers always have accurate, data‑driven insights to guide strategy.

• Accuracy of forecasts and financial models (variance within ±5–10%).
• Timeliness of monthly/quarterly reporting.
• Reliability and clarity of dashboards delivered to stakeholders.
• Positive feedback from leadership on insights and recommendations.
• Reduced errors and improved data quality across reports.

1. Initial Phone Screen
2. Video Interview with Pavago Recruiter
3. Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset)
4. Client Interview with Finance/Operations Leadership
5. Offer & Background Verification

Job Title

Financial Analyst / Data Analyst

Full‑Time, Remote

U.S. client business hours (with flexibility for reporting deadlines and project cycles)

Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision‑making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable.

Financial Modeling:

• Build and maintain 3‑statement models (P&L, balance sheet, cash flow).
• Create scenario and sensitivity analyses to evaluate risks and opportunities.
• Model ROI, IRR, break‑even, and valuation scenarios for projects or investments.

Data Analysis:

• Query SQL databases and work with large datasets.
• Clean and transform data using Python, R, or Excel advanced functions.
• Conduct variance analyses to compare actuals vs. budgets/forecasts.

Reporting & Dashboards:

• Prepare monthly management reporting packages and board decks.
• Build KPI dashboards using Tableau, Power BI, or Looker.
• Ensure consistent reporting definitions across finance and operations.

Forecasting & Budget Support:

• Collaborate with FP&A teams to refine budgets and forecasts.
• Incorporate real‑time business performance into rolling forecasts.

Data Quality & Governance:

• Validate data sources for accuracy and consistency.
• Document methodologies for transparency and repeatability.

Collaboration:

• Partner with finance, sales, operations, and leadership to align metrics with goals.
• Translate data into clear, actionable insights for non‑technical stakeholders.

• Analytical thinker who can turn complex data into simple insights.
• Detail‑oriented, with high standards for accuracy.
• Strong communicator — equally comfortable with spreadsheets and executive presentations.
• Proactive in identifying trends, risks, and improvement opportunities.

• 2+ years in financial analysis, FP&A, or data analytics.
• Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros).
• Proficiency in SQL for querying and joining datasets.
• Experience preparing variance analyses and management reports.

• Python or R for advanced analytics and data modeling.
• Experience with BI tools (Tableau, Power BI, Looker).
• Industry background in SaaS, finance, healthcare, or professional services.
• Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction.

A Financial Analyst / Data Analyst’s day revolves around turning raw financial and operational data into meaningful insights. You will:

• Pull and clean data from ERP or SQL sources to prepare daily/weekly reports.
• Update financial models with the latest actuals and run scenario analyses.
• Prepare variance analyses to explain deviations from budget or forecast.
• Build dashboards in BI tools to give leadership real‑time visibility into KPIs.
• Collaborate with stakeholders, presenting findings in clear, actionable terms.
• Document assumptions and methodologies so models and analyses are transparent and repeatable.

In essence: you ensure decision‑makers always have accurate, data‑driven insights to guide strategy.

• Accuracy of forecasts and financial models (variance within ±5–10%).
• Timeliness of monthly/quarterly reporting.
• Reliability and clarity of dashboards delivered to stakeholders.
• Positive feedback from leadership on insights and recommendations.
• Reduced errors and improved data quality across reports.

1. Initial Phone Screen
2. Video Interview with Pavago Recruiter
3. Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset)
4. Client Interview with Finance/Operations Leadership
5. Offer & Background Verification

Job Title

Financial Analyst / Data Analyst

Full‑Time, Remote

U.S. client business hours (with flexibility for reporting deadlines and project cycles)

Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision‑making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable.

Financial Modeling:

• Build and maintain 3‑statement models (P&L, balance sheet, cash flow).
• Create scenario and sensitivity analyses to evaluate risks and opportunities.
• Model ROI, IRR, break‑even, and valuation scenarios for projects or investments.

Data Analysis:

• Query SQL databases and work with large datasets.
• Clean and transform data using Python, R, or Excel advanced functions.
• Conduct variance analyses to compare actuals vs. budgets/forecasts.

Reporting & Dashboards:

• Prepare monthly management reporting packages and board decks.
• Build KPI dashboards using Tableau, Power BI, or Looker.
• Ensure consistent reporting definitions across finance and operations.

Forecasting & Budget Support:

• Collaborate with FP&A teams to refine budgets and forecasts.
• Incorporate real‑time business performance into rolling forecasts.

Data Quality & Governance:

• Validate data sources for accuracy and consistency.
• Document methodologies for transparency and repeatability.

Collaboration:

• Partner with finance, sales, operations, and leadership to align metrics with goals.
• Translate data into clear, actionable insights for non‑technical stakeholders.

• Analytical thinker who can turn complex data into simple insights.
• Detail‑oriented, with high standards for accuracy.
• Strong communicator — equally comfortable with spreadsheets and executive presentations.
• Proactive in identifying trends, risks, and improvement opportunities.

• 2+ years in financial analysis, FP&A, or data analytics.
• Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros).
• Proficiency in SQL for querying and joining datasets.
• Experience preparing variance analyses and management reports.

• Python or R for advanced analytics and data modeling.
• Experience with BI tools (Tableau, Power BI, Looker).
• Industry background in SaaS, finance, healthcare, or professional services.
• Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction.

A Financial Analyst / Data Analyst’s day revolves around turning raw financial and operational data into meaningful insights. You will:

• Pull and clean data from ERP or SQL sources to prepare daily/weekly reports.
• Update financial models with the latest actuals and run scenario analyses.
• Prepare variance analyses to explain deviations from budget or forecast.
• Build dashboards in BI tools to give leadership real‑time visibility into KPIs.
• Collaborate with stakeholders, presenting findings in clear, actionable terms.
• Document assumptions and methodologies so models and analyses are transparent and repeatable.

In essence: you ensure decision‑makers always have accurate, data‑driven insights to guide strategy.

• Accuracy of forecasts and financial models (variance within ±5–10%).
• Timeliness of monthly/quarterly reporting.
• Reliability and clarity of dashboards delivered to stakeholders.
• Positive feedback from leadership on insights and recommendations.
• Reduced errors and improved data quality across reports.

1. Initial Phone Screen
2. Video Interview with Pavago Recruiter
3. Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset)
4. Client Interview with Finance/Operations Leadership
5. Offer & Background Verification

Job Title

Financial Analyst / Data Analyst

Full‑Time, Remote

U.S. client business hours (with flexibility for reporting deadlines and project cycles)

Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision‑making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable.

Financial Modeling:

• Build and maintain 3‑statement models (P&L, balance sheet, cash flow).
• Create scenario and sensitivity analyses to evaluate risks and opportunities.
• Model ROI, IRR, break‑even, and valuation scenarios for projects or investments.

Data Analysis:

• Query SQL databases and work with large datasets.
• Clean and transform data using Python, R, or Excel advanced functions.
• Conduct variance analyses to compare actuals vs. budgets/forecasts.

Reporting & Dashboards:

• Prepare monthly management reporting packages and board decks.
• Build KPI dashboards using Tableau, Power BI, or Looker.
• Ensure consistent reporting definitions across finance and operations.

Forecasting & Budget Support:

• Collaborate with FP&A teams to refine budgets and forecasts.
• Incorporate real‑time business performance into rolling forecasts.

Data Quality & Governance:

• Validate data sources for accuracy and consistency.
• Document methodologies for transparency and repeatability.

Collaboration:

• Partner with finance, sales, operations, and leadership to align metrics with goals.
• Translate data into clear, actionable insights for non‑technical stakeholders.

• Analytical thinker who can turn complex data into simple insights.
• Detail‑oriented, with high standards for accuracy.
• Strong communicator — equally comfortable with spreadsheets and executive presentations.
• Proactive in identifying trends, risks, and improvement opportunities.

• 2+ years in financial analysis, FP&A, or data analytics.
• Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros).
• Proficiency in SQL for querying and joining datasets.
• Experience preparing variance analyses and management reports.

• Python or R for advanced analytics and data modeling.
• Experience with BI tools (Tableau, Power BI, Looker).
• Industry background in SaaS, finance, healthcare, or professional services.
• Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction.

A Financial Analyst / Data Analyst’s day revolves around turning raw financial and operational data into meaningful insights. You will:

• Pull and clean data from ERP or SQL sources to prepare daily/weekly reports.
• Update financial models with the latest actuals and run scenario analyses.
• Prepare variance analyses to explain deviations from budget or forecast.
• Build dashboards in BI tools to give leadership real‑time visibility into KPIs.
• Collaborate with stakeholders, presenting findings in clear, actionable terms.
• Document assumptions and methodologies so models and analyses are transparent and repeatable.

In essence: you ensure decision‑makers always have accurate, data‑driven insights to guide strategy.

• Accuracy of forecasts and financial models (variance within ±5–10%).
• Timeliness of monthly/quarterly reporting.
• Reliability and clarity of dashboards delivered to stakeholders.
• Positive feedback from leadership on insights and recommendations.
• Reduced errors and improved data quality across reports.

1. Initial Phone Screen
2. Video Interview with Pavago Recruiter
3. Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset)
4. Client Interview with Finance/Operations Leadership
5. Offer & Background Verification

Job Title

Financial Analyst / Data Analyst

Full‑Time, Remote

U.S. client business hours (with flexibility for reporting deadlines and project cycles)

Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision‑making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable.

Financial Modeling:

• Build and maintain 3‑statement models (P&L, balance sheet, cash flow).
• Create scenario and sensitivity analyses to evaluate risks and opportunities.
• Model ROI, IRR, break‑even, and valuation scenarios for projects or investments.

Data Analysis:

• Query SQL databases and work with large datasets.
• Clean and transform data using Python, R, or Excel advanced functions.
• Conduct variance analyses to compare actuals vs. budgets/forecasts.

Reporting & Dashboards:

• Prepare monthly management reporting packages and board decks.
• Build KPI dashboards using Tableau, Power BI, or Looker.
• Ensure consistent reporting definitions across finance and operations.

Forecasting & Budget Support:

• Collaborate with FP&A teams to refine budgets and forecasts.
• Incorporate real‑time business performance into rolling forecasts.

Data Quality & Governance:

• Validate data sources for accuracy and consistency.
• Document methodologies for transparency and repeatability.

Collaboration:

• Partner with finance, sales, operations, and leadership to align metrics with goals.
• Translate data into clear, actionable insights for non‑technical stakeholders.

• Analytical thinker who can turn complex data into simple insights.
• Detail‑oriented, with high standards for accuracy.
• Strong communicator — equally comfortable with spreadsheets and executive presentations.
• Proactive in identifying trends, risks, and improvement opportunities.

• 2+ years in financial analysis, FP&A, or data analytics.
• Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros).
• Proficiency in SQL for querying and joining datasets.
• Experience preparing variance analyses and management reports.

• Python or R for advanced analytics and data modeling.
• Experience with BI tools (Tableau, Power BI, Looker).
• Industry background in SaaS, finance, healthcare, or professional services.
• Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction.

A Financial Analyst / Data Analyst’s day revolves around turning raw financial and operational data into meaningful insights. You will:

• Pull and clean data from ERP or SQL sources to prepare daily/weekly reports.
• Update financial models with the latest actuals and run scenario analyses.
• Prepare variance analyses to explain deviations from budget or forecast.
• Build dashboards in BI tools to give leadership real‑time visibility into KPIs.
• Collaborate with stakeholders, presenting findings in clear, actionable terms.
• Document assumptions and methodologies so models and analyses are transparent and repeatable.

In essence: you ensure decision‑makers always have accurate, data‑driven insights to guide strategy.

• Accuracy of forecasts and financial models (variance within ±5–10%).
• Timeliness of monthly/quarterly reporting.
• Reliability and clarity of dashboards delivered to stakeholders.
• Positive feedback from leadership on insights and recommendations.
• Reduced errors and improved data quality across reports.

1. Initial Phone Screen
2. Video Interview with Pavago Recruiter
3. Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset)
4. Client Interview with Finance/Operations Leadership
5. Offer & Background Verification