Salary for intelligence analyst

Average salary

3500 £

Basic salary	1700 £
Maximum Wage	10000 £

1700 £
Lowest

5850 £
Average

10000 £
Highest

intelligence analyst - How much money do you make working at this position?

The average salary for the intelligence analyst position is 3500 £

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SERVOCA RESOURCING SOLUTIONS	40000 £
TRIUMPH CONSULTANTS	12640 £
HARVEY NASH	10000 £
INTELLIGENT RESOURCE	10000 £
SANDERSON Based on 2 job offers	8125 £
SERVICE CARE SOLUTIONS Based on 2 job offers	8100 £
CUVVA	7583 £
BUPA Based on 2 job offers	7500 £
BOSTON HALE	7000 £
PROACTIVE APPOINTMENTS	6666 £

Salary in companies

SERVOCA RESOURCING SOLUTIONS	40000 £	1700 £ 40000 £
TRIUMPH CONSULTANTS	12640 £	1700 £ 40000 £
HARVEY NASH	10000 £	1700 £ 40000 £
INTELLIGENT RESOURCE	10000 £	1700 £ 40000 £
SANDERSON	8125 £	1700 £ 40000 £
SERVICE CARE SOLUTIONS	8100 £	1700 £ 40000 £
CUVVA	7583 £	1700 £ 40000 £
BUPA	7500 £	1700 £ 40000 £
BOSTON HALE	7000 £	1700 £ 40000 £
PROACTIVE APPOINTMENTS	6666 £	1700 £ 40000 £

Comment on the job position of intelligence analyst

Requirements

"Finance" OR "Intelligence" OR "Analyst" OR "Investigations" OR "Public Sector"
financial Crime / Money Laundering experience
PIP
experience of decision making whilst active on operations
handling sensitive material
previous experience of prioritising and managing tasks in a fast paced environmence
experience of analysing information from a range of different sources to assist with resolving problems
have an awareness of legislation affecting UKFIU, handling of sensitive / confidential data
must be able to handle and maintain intelligence proceeses
be able to mentor other staff members, as well as support existing staff members
business Intelligence experience
experience with Azure DevOps or Jira
experience of Data Lineage / Data Mapping and understands where the different Data points will feed into
good understanding of SQL and relationship of data tables and fields
able to visualise and articulate proposed solutions to business problems provided by design team to business areas
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Responsibility

develop scalable and intuitive data analytics solutions from top level executive dashboards to complex lower-level reporting
develop suitable underlying data structures to support data analytics requirements
translate business requirements into system requirements, develop the technical solution, functional design and demonstrate appropriateness of solutions to key stakeholders
integrate Power Platform "low code" solutions into business process maintaining data assurance and legislation
provide senior oversight to direct, develop and co-ordinate the Companies House intelligence strategy
assess intelligence from a national strategic perspective for inclusion in daily briefings for NPoCC and relevant law enforcement stakeholders
partnering with key stakeholders to define metrics, validate KPIs, and deliver data-driven insights that inform decision-making at all levels, with a key focus on C-Suite stakeholder management and engagement
working collaboratively with the wider team to enhance our data infrastructure and streamline access to accurate, timely insights across Cuvva
defines the business intelligence capabilities that satisfy the broader business objectives and value proposition
ensures that the business capability requirements align to the business intelligence and data strategy roadmaps
manages a portfolio of work
leads the ongoing rationalisation of business intelligence assets in their area to ensure they are providing utmost value for business outcomes
manipulates raw data and understand the ultimate design required to meet business requests
define, plan and execute tests to ensure quality of results
point of contact for business for all business intelligence and analytics work relating to their area including activities that they might not be directly accountable for
proactively stays abreast of data sources, identify best internal and external data sources in response to business requests
coaches, mentors and develops team members
facilitates cross functional requirement sessions about complex information needs and documents requirements; includes working with stakeholders to prioritise requirements based on Business Intelligence capabilities and business needs

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