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Spait Infotech

Data Analyst

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 26, 2026

Original job description

Key Responsibilities

Collect, clean, validate, and transform data from multiple sources.
Write SQL queries to extract, filter, join, and aggregate data from databases.
Analyze datasets to identify trends, patterns, anomalies, and business opportunities.
Develop interactive dashboards and reports using Power BI or Tableau.
Use Microsoft Excel for data analysis, reporting, PivotTables, and lookup functions.
Track key performance indicators (KPIs) and prepare periodic business reports.
Perform data quality checks to ensure accuracy and consistency.
Collaborate with business stakeholders to understand reporting and analytical requirements.
Present findings and recommendations to support data-driven decision-making.
Maintain documentation and follow data governance and confidentiality standards.

Required Technical Skills

SQL: Joins, subqueries, aggregate functions, CTEs, and basic window functions.
Microsoft Excel: PivotTables, XLOOKUP/VLOOKUP, IF functions, charts, and data cleaning.
Power BI or Tableau: Dashboard development, data visualization, and reporting.
Data Analysis: Data cleaning, exploratory data analysis, trend analysis, and KPI reporting.
Statistics: Basic descriptive statistics, averages, percentages, and correlation concepts.
Communication: Ability to explain analytical findings clearly to technical and non-technical stakeholders.

Preferred Skills

Basic Python knowledge using Pandas and NumPy.
Experience with relational databases such as MySQL, SQL Server, or PostgreSQL.
Understanding of data modeling, ETL concepts, and data warehousing.
Familiarity with business intelligence and reporting processes.
Academic projects, internships, or practical experience in data analytics.

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More about this job

Responsibilities

Collect, clean, validate, transform, and analyze data from multiple sources, using SQL, Excel, and business intelligence tools to create dashboards and reports. Track KPIs, ensure data quality, collaborate with stakeholders, and present findings and recommendations to support data-driven decisions.

Requirements

Requires SQL, Excel, Power BI or Tableau, data analysis, basic statistics, and the ability to communicate findings to technical and non-technical stakeholders. Preferred qualifications include basic Python with Pandas and NumPy, relational database experience, knowledge of data modeling, ETL and data warehousing, and practical analytics experience.

Skills

SQL
Microsoft Excel
Power BI
Tableau
Data Cleaning
Data Analysis
Data Visualization
Dashboard Development
KPI Reporting
Exploratory Data Analysis
Basic Statistics
Python
Pandas
NumPy
Communication
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

SQL
Microsoft Excel
Power BI
Tableau
Python
Pandas
NumPy
MySQL
SQL Server
PostgreSQL
Data Cleaning
Data Validation
Data Transformation
Data Analysis
Exploratory Data Analysis
Trend Analysis
KPI Reporting
Dashboard Development
Data Visualization
PivotTables
XLOOKUP
VLOOKUP
Data Quality
Descriptive Statistics
Data Modeling
ETL
Data Warehousing
Business Intelligence
Data Governance
Relational Databases

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