Job Description HANGAR49 is looking for a skilled Cold Outreach Marketer to play a pivotal role in driving lead generation for our B2B operations.
The ideal candidate will excel in creating and managing personalized outreach campaigns targeting decision-makers and influencers within key industries.
You will leverage modern tools and data-driven strategies to build relationships, generate high-quality leads, and contribute to our sales pipeline growth.
Key Responsibilities Data Management & Analysis Design, manage, and optimize data pipelines and workflows.
Collect, process, and analyze large datasets to support business needs and decision-making.
Ensure data integrity, accuracy, and security across all systems.
Automation Development Identify repetitive tasks and processes suitable for automation.
Develop and implement automation scripts and workflows using tools like Python, RPA platforms, or cloud-based automation solutions.
Integrate data and automation tools with existing systems, such as CRMs, ERPs, and business intelligence platforms.
Informatics Applications Leverage informatics knowledge to design data models and systems that support analytics and reporting needs.
Translate business requirements into technical solutions using databases, APIs, and cloud services.
Apply machine learning or AI techniques where appropriate to enhance process efficiency.
Collaboration & Training Work closely with cross-functional teams to understand their data and automation requirements.
Train staff on new automation workflows and data tools to ensure adoption and usability.
Act as a technical consultant for departments needing custom automation or data solutions.
Monitoring & Optimization Continuously monitor automated systems and processes for performance and reliability.
Troubleshoot and resolve data or automation issues promptly.
Refine workflows based on feedback and evolving business needs.
Key Skills & Qualifications Education & Experience: Bachelor's degree in Informatics, Computer Science, Data Science, or a related field.
2-4 years of experience in data management, automation development, or a similar role Technical Skills: Strong proficiency in scripting languages like Python, JavaScript, or R. Experience with data tools and platforms such as SQL, Power BI, Tableau, or Snowflake.
Familiarity with RPA tools like UiPath, Automation Anywhere, or Microsoft Power Automate.
Knowledge of APIs and cloud services (e.g., AWS, Azure, Google Cloud).
Soft Skills: Excellent problem-solving skills with a strong analytical mindset.
Ability to manage multiple projects and meet deadlines.
Strong communication skills to convey technical concepts to non-technical stakeholders.
Additional Knowledge: Understanding of data governance, privacy regulations (e.g., GDPR), and security best practices.
Knowledge of machine learning concepts and their application in automation and data workflows.
Requirements Preferred Qualifications Certification in data analytics or automation tools (e.g., UiPath Certified Professional, AWS Data Analytics Specialty).
Experience in industries such as healthcare, finance, or technology with a focus on informatics.
Familiarity with ETL tools and data warehouse management.
Requirements Preferred Qualifications Certification in data analytics or automation tools (e.g., UiPath Certified Professional, AWS Data Analytics Specialty).
Experience in industries such as healthcare, finance, or technology with a focus on informatics.
Familiarity with ETL tools and data warehouse management.