INACTIVE
Senior Campaign Data and Operations Analyst
No salary listed
Senior
Hyderabad, Telangana, India
In Person
Data & AnalyticsData Analysis
About the job
Requirements
- At least 5 years of hands-on experience using Python for data analysis, including Pandas, NumPy, data manipulation, and automation, together with advanced SQL skills involving complex queries, joins, common table expressions, window functions, and performance optimization.
- Ability to independently analyze data, troubleshoot issues, develop insights, and support end-to-end campaign execution.
- Knowledge of customer relationship management and marketing automation platforms such as Adobe Campaign, Salesforce Marketing Cloud, Marketo, or Eloqua.
- Experience with visualization tools such as Power BI or Tableau.
- Advanced Excel skills for data analysis, reporting, validation, reconciliation, and quality checks.
- Hands-on experience with email marketing, digital marketing campaigns, audience management, campaign operations, or campaign execution.
- Strong understanding of marketing data, audience segmentation, targeting, suppression logic, and campaign data flows.
- Ability to identify data discrepancies and campaign execution issues through rigorous quality assurance and attention to detail.
- Ability to understand business context, campaign objectives, operational processes, data relationships, and underlying data mappings.
- Strong analytical and problem-solving skills, including investigating complex data issues and responding to ad hoc analytical requests.
Responsibilities
- Perform advanced data analysis using Python and SQL to support digital marketing campaigns, campaign operations, and performance optimization.
- Analyze customer, prospect, audience, and campaign data to identify trends, opportunities, anomalies, and actionable insights.
- Conduct complex campaign performance analyses to support marketing strategy, optimization, and business decision-making.
- Develop an understanding of business objectives, audience strategies, campaign requirements, and underlying data mappings to ensure accurate execution and reporting.
- Own end-to-end campaign operations, from audience selection and campaign setup through execution, validation, and reporting.
- Build, validate, and optimize marketing audiences for digital campaigns across multiple data sources.
- Manage audience creation and list hygiene, including targeting criteria, suppression logic, exclusions, and data requirements.
- Deliver accurate audience files and ensure campaign execution through data validation and quality control processes.
- Build and scale campaign processes by establishing reusable execution, quality control, documentation, and reporting frameworks.
- Ensure data quality, consistency, and accuracy across multiple marketing and campaign data sources.
- Maintain campaign metadata, data mappings, and reporting assets to support scalable and consistent campaign operations.
- Create, maintain, and enhance campaign performance reports, dashboards, and ad hoc analyses.
- Develop reusable SQL queries and Python scripts to automate campaign reporting, data preparation, validation, and recurring analytical processes.
- Create dashboards and reports to monitor campaign key performance indicators, customer engagement, conversion, and other marketing performance metrics.
- Improve reporting processes and analytical frameworks to increase efficiency, scalability, and accuracy.
- Partner with marketing and campaign stakeholders to understand campaign objectives, audience requirements, and business priorities and translate them into analytical and operational solutions.
- Collaborate with cross-functional teams to resolve data, audience, and campaign execution issues.
- Present analytical findings, insights, and recommendations to business stakeholders in a clear, concise, and actionable manner.
Desired Qualifications
- Experience with statistical analysis and predictive modeling.
- Understanding of A/B testing, attribution models, and customer lifecycle analytics.
- Experience working in Agile environments.
About the company
Blend360 provides AI services for enterprise data and analytics. It designs and deploys AI/ML projects, handles data engineering, governance, BI, and offers talent solutions to staff analytics teams. It differentiates itself through a deep data focus, experienced leadership, and growth via acquisitions and Recognize’s investment, including nuvu expansion in Latin America and a planned $300M M&A push. Its goal is to help Fortune 500/1000 firms become more data-driven and improve performance through end-to-end analytics and AI solutions.
Company Size
1,001-5,000
Company Stage
Growth Equity (Non-Venture Capital)
Total Funding
$100M
Headquarters
Columbia, Maryland
Founded
2016
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Simplify's Take
What believers are saying
- ADRES cut claims auditing time 96%, proving measurable AI ROI.
- In516ht’s June 2026 acquisition added 90 specialists across Slovenia, Dubai, and Riyadh.
- Brazil expansion targets financial services, energy, and public sector demand immediately.
What critics are saying
- Employee reviews in 2025-2026 cite layoffs, weak pay, and burnout.
- OpenAI and Snowflake can route implementation work to larger systems integrators.
- Services revenue concentration makes one lost platform relationship threaten 2027 growth.
What makes blend360 unique
- OpenAI Select Partner status in August 2026 validates Blend360’s frontier-model delivery.
- Snowflake Elite Partner status and In516ht deepen its data-cloud engineering bench.
- Brazil, Mexico, and global delivery centers give Blend360 multinational enterprise execution.
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Benefits
- Health Insurance
- Vision Insurance
- Dental Insurance
- 401(k) Retirement Plan
- Life Insurance
- Commuter Benefits
INACTIVE