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Spait Infotech

Data Analyst

Canada

Job type: Full-time
Posting language: English
Posted: Sep 29, 2026

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Original job description

Key Responsibilities

Collect, clean, validate, and analyze data from multiple sources.
Identify trends, patterns, and insights that support business objectives.
Develop and maintain reports, dashboards, and data visualizations.
Write SQL queries to extract and transform data from databases.
Prepare recurring and ad-hoc reports for business stakeholders.
Monitor key performance indicators (KPIs) and identify significant changes or trends.
Perform data quality checks and resolve data inconsistencies.
Work closely with business, product, finance, marketing, and technology teams to understand analytical requirements.
Translate business questions into analytical approaches and actionable insights.
Present findings and recommendations to technical and non-technical stakeholders.
Automate repetitive reporting and data-processing tasks where possible.
Maintain documentation for reports, dashboards, datasets, and analytical processes.

Required Qualifications

Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, Engineering, or a related field.
Strong proficiency in SQL.
Advanced knowledge of Microsoft Excel, including PivotTables, XLOOKUP/VLOOKUP, formulas, and data analysis.
Experience with data visualization and BI tools such as Power BI or Tableau.
Good understanding of descriptive statistics and analytical concepts.
Strong attention to detail and data-quality mindset.
Excellent problem-solving and communication skills.

Preferred Qualifications

Experience with Python or R for data analysis.
Knowledge of Pandas, NumPy, or other analytics libraries.
Experience working with large datasets.
Familiarity with databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
Understanding of ETL/ELT concepts and data pipelines.
Experience with cloud data platforms such as AWS, Azure, or Google Cloud.
Knowledge of A/B testing and basic statistical analysis.
Experience with data warehouses such as Snowflake, BigQuery, or Redshift.

Technical Skills

Database & Querying: SQL, PostgreSQL, MySQL, SQL Server, Oracle

Analytics: Excel, Python, R

Visualization: Power BI, Tableau, Excel

Python Libraries: Pandas, NumPy, Matplotlib, Seaborn

Cloud/Data Platforms: AWS, Azure, GCP, Snowflake, BigQuery

Tools: Git, Jupyter, Jira/Confluence

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More about this job

Responsibilities

Collect, validate, and analyze data from multiple sources; develop reports and dashboards, monitor KPIs, and automate recurring data tasks. Translate business questions into analytical insights and present findings and recommendations to stakeholders across technical and business teams.

Requirements

A bachelor’s degree in a related field is required, along with strong SQL skills, advanced Excel knowledge, and experience with BI tools such as Power BI or Tableau. The role also requires understanding of descriptive statistics, attention to data quality, problem-solving, and communication skills; Python or R and cloud or data warehouse experience are preferred.

Skills

SQL
Microsoft Excel
Data Analysis
Data Visualization
Power BI
Tableau
Descriptive Statistics
Data Quality
Python
R
Pandas
NumPy
ETL/ELT
A/B Testing
Data Warehousing
Communication

Visa sponsorship

Not detected in the job text

Keywords

SQL
PostgreSQL
MySQL
SQL Server
Oracle
Microsoft Excel
Power BI
Tableau
Python
R
Pandas
NumPy
Matplotlib
Seaborn
AWS
Azure
Google Cloud
Snowflake
BigQuery
Redshift
Git
Jupyter
Jira
Confluence
ETL/ELT
Data Pipelines
A/B Testing
KPIs
Data Visualization
Data Quality

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