Professional Services Operations Analyst at Contentsquare

Cairo, Cairo Governorate, Egypt

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AnalyticsIndustries

Requirements

2+ years in RevOps, Professional Services Ops, or Customer Success Ops focused on data analysis, reporting, and data visualization
Deep familiarity with SaaS contract terminology, forecasting, sales, and post-sales processes
Fluent professional English with strong written and verbal communication
SQL expert with hands-on experience in ETL pipelines, relational databases, and data modeling (MAQL a plus)
Proficiency with Snowflake, Tableau, and advanced Google Sheets/Looker Studio
Experience working with Salesforce and Google Workspace
Discipline in enforcing data quality rules, governance, and documentation best practices
Strong grasp of statistical analysis/modeling and the ability to translate data into actionable insights
Self-starter with excellent organization, project/time management, attention to detail, and creative problem-solving; thrives under tight deadlines and collaborates well in a global team
Proven ability to build automated dashboards/reporting, define new KPIs, and explain performance variance clearly

Responsibilities

Build reports and visualizations with Professional Services key metrics to help the team understand strategy effectiveness
Conduct deep dive analysis to identify drivers of Professional Services performance and generate insights for future changes
Quickly digest or develop new KPIs, ask the right questions, and effectively interpret and act on what it's telling you and what it's not telling you
Monitor Professional Services KPIs and explain deviations from the norm
Deliver sophisticated analyses to senior leadership that provide thoughtful evaluation of data
Partner with the Product, Revenue Operations, and Enterprise Analytics teams for building reporting methods
Proactively identify opportunities to automate reporting and data collection processes
Collaborate with internal Professional Services teams to gather benchmark data and other insights
Use statistical tools and methods to analyze data from various sources
Automate analysis through insightful dashboards
Communicate findings to stakeholders in a clear and actionable manner
Continuously monitor data quality

Skills

Data Analysis

Reporting

Data Visualization

KPI Monitoring

Performance Analysis

Business Insights

Data Quality

Contentsquare

Digital experience analytics and insights platform

About Contentsquare

Contentsquare provides digital experience analytics through an AI-powered platform that analyzes customer behaviors, feelings, and intentions across various online touchpoints. The platform collects data from over 1 million websites, allowing businesses to understand how customers interact with their digital content. This understanding helps companies improve their operations, build customer trust, and ensure that their services are secure, private, and accessible. Unlike many competitors, Contentsquare focuses on delivering deep insights that foster empathy towards customers, enabling brands to enhance customer satisfaction and adapt quickly to market changes. The goal of Contentsquare is to empower businesses to create meaningful customer experiences that drive growth and loyalty.

Paris, FranceHeadquarters

2012Year Founded

$1,257.4MTotal Funding

SERIES_FCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

1,001-5,000Employees

Benefits

Opportunities for personal growth and career development

Competitive salaries

Generous health and retirement benefits

Excellent family care

Paid time off and flexible policies

Fun and ambitious work environment

Risks

Increased competition from emerging platforms may erode Contentsquare's market share.

The departure of key executives could lead to strategic instability.

Integration challenges with acquisitions like Heap may cause operational inefficiencies.

Differentiation

Contentsquare offers AI-powered insights into customer behaviors and feelings across all touchpoints.

The platform integrates four analytics domains: DXA, DEM, PA, and VoC.

Contentsquare's focus on privacy and accessibility builds strong customer trust.

Upsides

Contentsquare's new AI features enhance conversion, retention, and NPS improvements.

Strategic partnerships, like with TMG, expand Contentsquare's digital experience capabilities.

The rise of AI-driven personalization boosts demand for Contentsquare's analytics solutions.

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