Data Analyst – Pineswift Technologies

Opportunity Overview

Data Analysis & Reporting Workflow

The Data and Business Analyst at Pineswift Technologies bridges database querying with automated executive reporting and process documentation:

┌───────────────────────────────────────────┐
│ 1. Requirements & Stakeholder Scoping    │ ➔ Gather business needs and translate them into structured analytical specifications
└─────────────────────┬─────────────────────┘
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┌───────────────────────────────────────────┐
│ 2. Advanced SQL Extraction & Cleansing    │ ➔ Write complex SQL queries to extract, transform, clean, & reconcile multi-source data
└─────────────────────┬─────────────────────┘
                      ▼
┌───────────────────────────────────────────┐
│ 3. Automated Excel Modeling & VBA         │ ➔ Build automated report dashboards using Pivot Tables, dynamic formulas, and VBA macros
└─────────────────────┬─────────────────────┘
                      ▼
┌───────────────────────────────────────────┐
│ 4. Documentation & Ad-Hoc Delivery        │ ➔ Maintain process documentation, data definitions, & present ad-hoc findings via MS Suite
└───────────────────────────────────────────┘

Key Responsibilities

• SQL Pipeline & Query Management: Construct and optimize advanced SQL scripts to extract, transform, and load raw transactional data from disparate source databases.

• Spreadsheet & Macro Automation: Design, build, and automate reporting spreadsheets and dashboards leveraging Excel formulas, Pivot Tables, and VBA macros.

• Data Cleansing & Reconciliation: Perform end-to-end data auditing, validation, and reconciliation to maintain strict metrics accuracy across systems.

• Documentation & Process Standard: Maintain comprehensive documentation of reporting pipelines, data dictionaries, and analytical definitions.

• Stakeholder Support: Collaborate across teams to deliver ad-hoc business analysis and present key findings using PowerPoint and Microsoft Office tools.

Qualification Matrix & Technical Skill Stack

Core Requirements

Key Focus Areas for Interview Preparation

1. Advanced SQL Querying: Practice writing SQL scripts for data reconciliation, aggregations across multiple joins, and windowing functions (ROW_NUMBER(), LEAD(), LAG()).

2. Excel VBA Automation: Be ready to write or debug Excel VBA scripts designed to automate repetitive report generation and data formatting tasks.

3. Data Quality & Reconciliation: Prepare examples of how you detect anomalies, resolve duplicate entries, and validate data integrity between source systems and final reports.